Difference between revisions of "Documentation/Nightly/Extensions/PercutaneousApproachAnalysis"

From Slicer Wiki
Jump to: navigation, search
Line 15: Line 15:
 
|{{collaborator|longname|namic}}|{{collaborator|longname|namic}}
 
|{{collaborator|longname|namic}}|{{collaborator|longname|namic}}
 
|{{collaborator|logo|ge}}|{{collaborator|longname|ge}}
 
|{{collaborator|logo|ge}}|{{collaborator|longname|ge}}
|Image:ITK logo.png|Some longer text to test if it wraps with a scrollbar or not.
+
|Image:ITK logo.png|SPL
 
}}
 
}}
  

Revision as of 21:11, 30 April 2014

Home < Documentation < Nightly < Extensions < PercutaneousApproachAnalysis


For the latest Slicer documentation, visit the read-the-docs.


Introduction and Acknowledgements

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>

center|border|180x100px|alt=|National Alliance for Medical Image Computing (NA-MIC)
National Alliance for Medical Image Computing (NA-MIC)  
GE Global Research  
SPL  

Module Description

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.

Use cases

An example using a synthetic model

1. Model preparation

  • Preparing required 2 models as BodySurface and Obstacle

2. Put fiducial

  • Putting a fiducial point at target position

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.

4. Output field

  • Accessibility score and Minimum Distance are displayed in this field.

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.

Tutorials

Typical use case is provided as tutorial slides.

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.


Similar Modules

N/A

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

Information for Developers