Slicer Wiki - User contributions [en]

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-11-06T02:43:03Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886), and will be presented in CARS 2014 meeting[[Media:CARS2014 Murakami.pdf]]. 
Author: Koichiro Murakami (SUMS, SPL), Atsushi Yamada (SUMS), Laurent Chauvin (SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[emkami@belle.shiga-med.ac.jp]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:PAAlogo-small.png|Percutaneous Approach Analysis|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-11-06T02:40:56Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886), and will be presented in CARS 2014 meeting[[Media:CARS2014 Murakami.pdf]]. 
Author: Koichiro Murakami (SUMS, SPL), Atsushi Yamada (SUMS), Laurent Chauvin (SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:PAAlogo-small.png|Percutaneous Approach Analysis|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

File:PAAlogo-small.png

2014-05-09T17:12:46Z

Murakami: uploaded a new version of "File:PAAlogo-small.png"

File:PAAlogo-small.png

2014-05-09T16:54:15Z

Murakami:

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-09T16:53:54Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886), and will be presented in CARS 2014 meeting[[Media:CARS2014 Murakami.pdf]]. 
Author: Koichiro Murakami (SUMS, SPL), Laurent Chauvin (SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:PAAlogo-small.png|Percutaneous Approach Analysis|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-09T16:52:38Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886), and will be presented in CARS 2014 meeting[[Media:CARS2014 Murakami.pdf]]. 
Author: Koichiro Murakami (SUMS, SPL), Laurent Chauvin (SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
Image:PAAlogo-small.png|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-07T13:44:31Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886), and will be presented in CARS 2014 meeting[[Media:CARS2014 Murakami.pdf]]. 
Author: Koichiro Murakami (SUMS, SPL), Laurent Chauvin (SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-07T13:43:56Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886), and will be presented in CARS 2014 meeting. 
Author: Koichiro Murakami (SUMS, SPL), Laurent Chauvin (SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.
[[Media:CARS2014 Murakami.pdf]]

{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions

2014-05-02T13:57:28Z

Murakami: /* Cat 2 */

<noinclude>{{documentation/versioncheck}}</noinclude>
<noinclude>
__TOC__
</noinclude>= Extensions by Category =

==Cat 1==

==Cat 2==
*[[Documentation/{{documentation/version}}/Extensions/CarreraSliceInteractiveSegmenter|CarreraSlice Interactive Segmenter]] (Ivan Kolesov, LiangJia Zhu, Yi Gao, Peter Karasev, Patricio Vela, Allen Tannenbaum, Karl Fritscher, Steve Pieper )
* [[Documentation/{{documentation/version}}/Extensions/SkullStripper|SkullStripper]] (Xiaodong Tao)
* [[Documentation/{{documentation/version}}/Extensions/MABMIS|MABMIS]] (Xiaofeng Liu)
* [[Documentation/{{documentation/version}}/Extensions/SwissSkullStripper|SwissSkullStripper]] (Bill Lorensen)
* [[Documentation/{{documentation/version}}/Extensions/CARMA|Cardiac MRI Toolkit]] (Alan Morris, Salma Bengali)[[image:UnderConstruction.png|tumb|10px]]
* [[Documentation/{{documentation/version}}/Extensions/PkModeling|PkModeling]] (Emma Zhu, Jim Miller)
* [[Documentation/{{documentation/version}}/Extensions/FacetedVisualizer|FacetedVisualizer]] (Harini Veeraraghavan, Jim Miller)
* [[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]] (Andrey Fedorov, Nicole Aucoin, Steve Pieper) (work in progress)
* [[Documentation/{{documentation/version}}/Extensions/TCIABrowser|TCIA Browser]] (Alireza Mehrtash, Andrey Fedorov) (work in progress)
* [[Documentation/{{documentation/version}}/Extensions/SlicerRT|SlicerRT]] (Csaba Pinter, Andras Lasso, Kevin Wang, Greg Sharp, Steve Pieper)
** [[Documentation/{{documentation/version}}/Modules/DicomRtImport|DICOM-RT import]]
** [[Documentation/{{documentation/version}}/Modules/DicomRtExport|DICOM-RT export]]
** [[Documentation/{{documentation/version}}/Modules/Contours|Contours]]
** [[Documentation/{{documentation/version}}/Modules/DoseVolumeHistogram|Dose volume histogram]]
** [[Documentation/{{documentation/version}}/Modules/DoseAccumulation|Dose accumulation]]
** [[Documentation/{{documentation/version}}/Modules/DoseComparison|Dose comparison]]
** [[Documentation/{{documentation/version}}/Modules/Isodose|Isodose line and surface display]]
** [[Documentation/{{documentation/version}}/Modules/ContourComparison|Contour comparison]]
** [[Documentation/{{documentation/version}}/Modules/ContourMorphology|Contour morphology]]
** [[Documentation/{{documentation/version}}/Modules/SubjectHierarchy|Subject hierarchy]]
** Modules from [[Documentation/{{documentation/version}}/Extensions/Plastimatch|Plastimatch]] (Greg Sharp)
*** [[Documentation/{{documentation/version}}/Modules/PlmBSplineDeformableRegistration|Plastimatch Automatic deformable image registration]]
*** [[Documentation/{{documentation/version}}/Modules/PlmLANDWARP|Plastimatch LANDWARP Landmark]]
*** [[Documentation/{{documentation/version}}/Modules/PlmXFORMWARP|Plastimatch XFORMWARP]] [[image:UnderConstruction.png|tumb|10px]]
* [[Documentation/{{documentation/version}}/Extensions/SlicerIGT|SlicerIGT]] (Tamas Ungi, Adam Rankin, Andras Lasso, Junichi Tokuda, Laurent Chauvin)
** [[Documentation/{{documentation/version}}/Modules/CollectFiducials|CollectFiducials]] (Tamas Ungi)
** [[Documentation/{{documentation/version}}/Modules/CreateModels|CreateModels]] (Tamas Ungi, Matthew Holden)
** [[Documentation/{{documentation/version}}/Modules/OpenIGTLinkRemote|OpenIGTLinkRemote]] (Tamas Ungi, Andras Lasso)
** [[Documentation/{{documentation/version}}/Modules/UltrasoundSnapshots|UltrasoundSnapshots]] (Tamas Ungi, Franklin King)
** [[Documentation/{{documentation/version}}/Extensions/VolumeResliceDriver|VolumeResliceDriver]] (Junichi Tokuda, Tamas Ungi, Laurent Chauvin)
** [[Documentation/{{documentation/version}}/Extensions/PathExplorer|PathExplorer]] (Laurent Chauvin, Junichi Tokuda)
* [[Documentation/{{documentation/version}}/Extensions/MatlabBridge|Matlab Bridge]] (Andras Lasso, Jean-Christophe Fillion-Robin, Kevin Wang)
* [[Documentation/{{documentation/version}}/Extensions/iGyne|iGyne]] (Xiaojun Chen and iGyne Team)
* [[Documentation/{{documentation/version}}/Extensions/LongitudinalPETCT|LongitudinalPETCT]] (Paul Mercea, Andrey Fedorov)
* [[Documentation/{{documentation/version}}/Extensions/DTIProcess|DTIProcess]] (Francois Budin)
* [[Documentation/{{documentation/version}}/Extensions/DTIAtlasFiberAnalyzer|DTIAtlasFiberAnalyzer]] (Francois Budin)
* [[Documentation/{{documentation/version}}/Extensions/FiberViewerLight|FiberViewerLight]] (Francois Budin)
* [[Documentation/{{documentation/version}}/Extensions/DTIPrep|DTIPrep]] (Francois Budin)
* [[Documentation/{{documentation/version}}/Extensions/DTIAtlasBuilder|DTIAtlasBuilder]] (Adrien Kaiser)
* [[Documentation/{{documentation/version}}/Extensions/ShapePopulationViewer|ShapePopulationViewer]] (Alexis Girault)
* [[Documentation/{{documentation/version}}/Extensions/ModelToModelDistance|ModelToModelDistance]] (Francois Budin, Juliette Pera, Beatriz Paniagua)
* [[Documentation/{{documentation/version}}/Extensions/TubeTK|TubeTK]] (Stephen Aylward, Jean-Christophe Fillion-Robin, Christopher Mullins, Michael Jeulin-L, Matthew McCormick)
* [[Documentation/{{documentation/version}}/Extensions/UKFTractography|UKFTractography]] (Ryan Eckbo, Yogesh Rathi)
* [[Documentation/{{documentation/version}}/Extensions/TrackerStabilizer|TrackerStabilizer]] (Laurent Chauvin, Jayender Jagadeesan)
* [[Documentation/{{documentation/version}}/Extensions/ChangeTracker|ChangeTracker]] (Andrey Fedorov)
* [[Documentation/{{documentation/version}}/Extensions/SobolevSegmenter|SobolevSegmenter]] (Arie Nakhmani)
* [[Documentation/{{documentation/version}}/Extensions/QuickTools|QuickTools]] (Julien Finet)
** [[Documentation/{{documentation/version}}/Modules/ImageMaker|Image Maker]]
* [[Documentation/{{documentation/version}}/Extensions/XNATSlicer|XNATSlicer]]
* [[Documentation/{{documentation/version}}/Extensions/ErodeDilateLabel|ErodeDilateLabel]] (Junichi)
* [[Documentation/{{documentation/version}}/Extensions/ThingiverseBrowser|ThingiverseBrowser]] (Nigel Goh)
* [[Documentation/{{documentation/version}}/Extensions/VirtualFractureReconstruction|Virtual Fracture Reconstruction]] (Karl Fritscher, Peter Karasev)
* [[Documentation/{{documentation/version}}/Extensions/AirwaySegmentation|AirwaySegmentation]] (Pietro Nardelli)
* [[Documentation/{{documentation/version}}/Extensions/ModelClip|ModelClip]] (Jun Lin, Xiaojun Chen)
* [[Documentation/{{documentation/version}}/Extensions/SurfaceMirror|SurfaceMirror]] (Jiaxi Luo, Ruqing Ye, Xiaojun Chen)
* [[Documentation/{{documentation/version}}/Extensions/Scoliosis|Scoliosis]] (Franklin King, Tamas Ungi)
**[[Documentation/{{documentation/version}}/Modules/SpinalCurvatureMeasurement|Spinal Curvature Measurement]] (Franklin King, Tamas Ungi)
* [[Documentation/{{documentation/version}}/Extensions/PortPlacement|Port Placement]] (Andinet Enquobahrie, Luis G. Torres)
* [[Documentation/{{documentation/version}}/Extensions/PlusRemote|Plus Remote]] (Franklin King, Tamas Ungi)
* [[Documentation/{{documentation/version}}/Extensions/TransformVisualizer|Transform Visualizer]] (Franklin King, Andras Lasso, Csaba Pinter)
* [[Documentation/{{documentation/version}}/Extensions/WindowLevelEffect|WindowLevelEffect]] (Andrey Fedorov, Steve Pieper)
* [[Documentation/{{documentation/version}}/Extensions/PerkTutor|PerkTutor]] (Tamas Ungi, Matthew Holden)
** [[Documentation/{{documentation/version}}/Modules/PerkEvaluator|PerkEvaluator]]
** [[Documentation/{{documentation/version}}/Modules/TransformRecorder|TransformRecorder]]
** [[Documentation/{{documentation/version}}/Modules/WorkflowSegmentation|WorkflowSegmentation]]
* [[Documentation/{{documentation/version}}/Modules/SlicerToKiwiExporter|SlicerToKiwiExporter]] (Jean-Christophe Fillion-Robin)
* [[Documentation/{{documentation/version}}/Modules/GelDosimetry|GelDosimetry]] (Csaba Pinter)
* [[Documentation/{{documentation/version}}/Extensions/MultidimData|Multidimensional data]] (Andras Lasso, Matthew Holden, Kevin Wang)
* [[Documentation/{{documentation/version}}/Extensions/GyroGuide|GyroGuide]] (Ruifeng Chen,Luping Fang, Qing Pan, Xiaolei Chen, Jiashu Zhang)
* [[Documentation/{{documentation/version}}/Modules/MRI SNR Measurement|MRI SNR Measurement]] (Babak Matinfar)
* [[Documentation/{{documentation/version}}/Extensions/OpenCAD|OpenCAD]] (Vivek Narayan, Jayender Jagadeesan)
* [[Documentation/{{documentation/version}}/PercutaneousApproachAnalysis|Percutaneous Approach Analysis]] (Koichiro Murakami, Laurent Chauvin, Junichi Tokuda)

==Cat 3==
* [[Documentation/{{documentation/version}}/Extensions/LesionSegmentation|LesionSegmentation]] (Mark Scully)
**[[Documentation/{{documentation/version}}/Modules/TrainModel|LesionSegmentation->TrainModel]] (Mark Scully)
**[[Documentation/{{documentation/version}}/Modules/PredictLesions|LesionSegmentation->PredictLesions]] (Mark Scully)
* [[Documentation/{{documentation/version}}/Extensions/IASEM|IASEM]] (Bradley Lowekamp)
* [[Documentation/{{documentation/version}}/Extensions/PyDevRemoteDebug|Python debugger]] (Andras Lasso)
<noinclude>
{{:Documentation/{{documentation/version}}/FAQ/Extensions|Extensions}}
</noinclude>

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-02T13:56:41Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Laurent Chauvin (SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.
[[Media:CARS2014 Murakami.pdf]]

{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

File:CARS2014 Murakami.pdf

2014-05-02T01:16:42Z

Murakami:

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-02T01:16:14Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.
[[Media:CARS2014 Murakami.pdf]]

{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-02T01:15:32Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.
[[Media:Software for 3D Quantitative Tumor Accessibility Assessment in Image-Guided Percutaneous Liver Ablations.pdf]]

{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-02T01:14:35Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.
[Software for 3D Quantitative Tumor Accessibility Assessment in Image-Guided Percutaneous Liver Ablations]

{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-01T04:04:28Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-01T04:03:14Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-05-01T03:07:34Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - An example using a synthetic model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:55:14Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|360x240px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:53:03Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|390x260px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:51:42Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility clinical.png|540x210px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

File:Accessibility clinical.png

2014-04-30T23:50:07Z

Murakami:

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:49:48Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility clinical.png]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:36:29Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}

[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81 
[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64 
[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52 
[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72 


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:35:13Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and Parameters}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:28:04Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|Surgical Planning Laboratory
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels, Parameters, and Outputs}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:21:56Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels, Parameters, and Outputs}}
'''Panels''' 
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:20:42Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
[[File:panelfull.jpg|300x413px]] 

'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:19:59Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}} 
[[File:panelfull.jpg|300x413px]] 
'''Parameters''' 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:18:58Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters''' 
[[File:panelfull.jpg|300x413px]] 
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

File:Panelfull.jpg

2014-04-30T23:16:53Z

Murakami:

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:16:29Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
[[File:panelfull.jpg]]
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:15:41Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''
[[File:panelfull.jpg]]
1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:12:44Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:12:07Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples of using a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px|center]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T23:09:00Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

''' - Examples for a synthetic model and a clinical model -'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

File:140422-0010.jpg

2014-04-30T22:57:57Z

Murakami:

File:140422-0008.jpg

2014-04-30T22:57:18Z

Murakami:

File:140422-0004.jpg

2014-04-30T22:56:51Z

Murakami:

File:140422-0006.jpg

2014-04-30T22:56:22Z

Murakami:

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:55:55Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]][[File:140422-0004.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]][[File:140422-0006.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]][[File:140422-0008.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in the result field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]][[File:140422-0010.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:32:26Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|480x360px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in this field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:29:46Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|440x330px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
Preparing required 2 models as BodySurface and Obstacle 
[[File:140422-0013.jpg|360x234px]] 

2. Put fiducial 
Putting a fiducial point at target position 
[[File:140422-0014.jpg|360x234px]] 

3. Input and Run 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
[[File:140422-0016.jpg|360x234px]] 

4. Output field 
Accessibility score and Minimum Distance are displayed in this field. 
[[File:panelmurakami.png|360x76px]] 

5. Scalar map 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 
[[File:140422-0017.jpg|360x234px]] 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:28:35Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|440x330px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
[[File:140422-0013.jpg|360x234px]] 
Preparing required 2 models as BodySurface and Obstacle 

2. Put fiducial 
[[File:140422-0014.jpg|360x234px]] 
Putting a fiducial point at target position 
3. Input and Run 
[[File:140422-0016.jpg|360x234px]] 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
4. Output field 
[[File:panelmurakami.png|360x76px]] 
Accessibility score and Minimum Distance are displayed in this field. 
5. Scalar map 
[[File:140422-0017.jpg|360x234px]] 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:28:14Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|440x330px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
[[File:140422-0013.jpg|360x234px]] 
Preparing required 2 models as BodySurface and Obstacle 

2. Put fiducial 
[[File:140422-0014.jpg|360x234px]] 
Putting a fiducial point at target position 
3. Input and Run 
[[File:140422-0016.jpg|360x234px]] 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
4. Output field 
[[File:panelmurakami.png|360x76px]] 
Accessibility score and Minimum Distance are displayed in this field. 
5. Scalar map 
[[File:140422-0017.jpg|360x234px]] 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:27:11Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|440x330px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
[[File:140422-0013.jpg|360x234px]] 
Preparing required 2 models as BodySurface and Obstacle 
2. Put fiducial 
[[File:140422-0014.jpg|360x234px]] 
Putting a fiducial point at target position 
3. Input and Run 
[[File:140422-0016.jpg|360x234px]] 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
4. Output field 
[[File:panelmurakami.png|360x76px]] 
Accessibility score and Minimum Distance are displayed in this field. 
5. Scalar map 
[[File:140422-0017.jpg|360x234px]] 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:23:51Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|440x330px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
[[File:140422-0013.jpg|360x234px]] 
Preparing required 2 models as BodySurface and Obstacle 
2. Put fiducial 
[[File:140422-0014.jpg]] 
Putting a fiducial point at target position 
3. Input and Run 
[[File:140422-0016.jpg]] 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
4. Output field 
[[File:panelmurakami.png]] 
Accessibility score and Minimum Distance are displayed in this field. 
5. Scalar map 
[[File:140422-0017.jpg]] 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:20:11Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|440x330px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
[[File:140422-0013.jpg|360x234px|Preparing required 2 models as BodySurface and Obstacle]] 
2. Put fiducial 
[[File:140422-0014.jpg]] 
Putting a fiducial point at target position 
3. Input and Run 
[[File:140422-0016.jpg]] 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
4. Output field 
[[File:panelmurakami.png]] 
Accessibility score and Minimum Distance are displayed in this field. 
5. Scalar map 
[[File:140422-0017.jpg]] 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:07:12Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|420x280px]][[File:accessibility image2.png|440x330px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
[[File:140422-0013.jpg]] 
Preparing required 2 models as BodySurface and Obstacle 
2. Put fiducial 
[[File:140422-0014.jpg]] 
Putting a fiducial point at target position 
3. Input and Run 
[[File:140422-0016.jpg]] 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
4. Output field 
[[File:panelmurakami.png]] 
Accessibility score and Minimum Distance are displayed in this field. 
5. Scalar map 
[[File:140422-0017.jpg]] 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:06:18Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|left|420x280px]][[File:accessibility image2.png|right|440x330px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
[[File:140422-0013.jpg]] 
Preparing required 2 models as BodySurface and Obstacle 
2. Put fiducial 
[[File:140422-0014.jpg]] 
Putting a fiducial point at target position 
3. Input and Run 
[[File:140422-0016.jpg]] 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
4. Output field 
[[File:panelmurakami.png]] 
Accessibility score and Minimum Distance are displayed in this field. 
5. Scalar map 
[[File:140422-0017.jpg]] 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}

Documentation/Nightly/Extensions/PercutaneousApproachAnalysis

2014-04-30T22:01:13Z

Murakami:

<noinclude>{{documentation/versioncheck}}</noinclude>

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
This work is supported in part by the National Institute of Health (R01CA111288, P01CA067165, P41RR019703, P41EB015898, R01CA124377, R01CA138586, R42CA137886). 
Author: Koichiro Murakami (SUMS, SPL), Junichi Tokuda (SPL) 
Contact: Koichiro Murakami <email>[[kmurakami1@partners.org]]</email> 
{{documentation/{{documentation/version}}/module-introduction-row}}
{{documentation/{{documentation/version}}/module-introduction-logo-gallery
|Image:sumslogo.jpg|Shiga University of Medical Science
|Image:spllogo.png|SPL
}}

{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}

[[File:synthetic.png|384x256px]][[File:accessibility image2.png|432x324px]] 
The Percutaneous Approach Analysis is used to calculate and visualize the accessibility of liver tumor with a percutaneous approach. The software uses the “ray-tracing” method in which the target tumor serves as a light source to identify the area of the skin that allows direct approach to the target tumor with a straight needle. This software takes the Body Surface model, Obstacle model, and a fiducial point in the liver model as inputs. The software also examines each line that connects the fiducial point and the center of each polygon cell on the Body Surface model and check if the line intersects the Obstacle model. If it does not intersect, the cell is identified as an accessible area. The polygon is colored based on the accessibility to visualize the results in 3D. For quantitative analysis, the software calculates the ratio of the total accessible area to the total area of the Body Surface model as the accessibility score (AS) for the specified fiducial point in the liver. Additionally, the software calculates and visualizes the distance between the target tumor and each polygon of the accessible area on the Body Surface model.


{{documentation/{{documentation/version}}/module-section|Use cases}}

'''An example using a synthetic model'''

1. Model preparation 
[[File:140422-0013.jpg]] 
Preparing required 2 models as BodySurface and Obstacle 
2. Put fiducial 
[[File:140422-0014.jpg]] 
Putting a fiducial point at target position 
3. Input and Run 
[[File:140422-0016.jpg]] 
Selecting an appropriate object on each parameter pull-down window and push ‘Apply’ button 
If you input ‘Minimum Distance Point’ in Output field, the nearest point from the target will be displayed on the Body Surface model. 
4. Output field 
[[File:panelmurakami.png]] 
Accessibility score and Minimum Distance are displayed in this field. 
5. Scalar map 
[[File:140422-0017.jpg]] 
A color map showing approachable and inapproachable area is available. 
To visualize it, a ‘visible’ check-box should be turned on in Scalar parameter of Models module. 


{{documentation/{{documentation/version}}/module-section|Tutorials }}
Typical use case is provided as tutorial slides.


{{documentation/{{documentation/version}}/module-section|Panels and parameters}}
'''Parameters'''
*Target Point: Input an annotation fiducial point as a target of percutaneous approach.
*Obstacle Model: Input one Volume Model which you think as a barrier of needle insertion.
*Skin Model: Input one Volume Model on which the accessibile area should be measured as an inserting site.
'''Output/Results'''
*Accessibility Score: This box shows Accessibility Score which is calculated by accessibility area and total area on the selected Skin Model.
*Minimum Distance: The shortest distance between the Target Point and the surface of Skin Model.
*Minimum Distance Point: Input this when you want to know the nearest point on the Skin Model from the Target Point.




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
*[1] Rossi S, Di Stasi M, Buscarini E, Cavanna L, Quaretti P, Squassante E, Garbagnati F, Buscarini L. (1995) Percutaneous radiofrequency interstitial thermal ablation in the treatment of small hepatocellular carcinoma. Cancer J Sci Am 1(1): 73-81
*[2] Silverman SG, Tuncali K, Adams DF, van Sonnenberg E, Zou KH, Kacher DF, Morrison PR, Jolesz FA. (2000) MR Imaging-guided Percutaneous Cryotherapy of Liver Tumors: Initial Experience. Radiology 217: 657-64
*[3] Ido K, Isoda N, Sugano K. (2001) Microwave coagulation therapy for liver cancer: laparoscopic microwave coagulation. J Gastroenterol 36(3): 145-52
*[4] Khlebnikov R, Kainz B, Muehl J, Schmalstieg D. (2011) Crepscular Rays for Tumor Accessibility Planning. IEEE Trans Vis Comput Graph 17(12): 2163-72


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
{{documentation/{{documentation/version}}/module-developerinfo}}


{{documentation/{{documentation/version}}/module-footer}}