https://www.slicer.org/w/api.php?action=feedcontributions&user=Anry123&feedformat=atomSlicer Wiki - User contributions [en]2024-03-29T13:41:45ZUser contributionsMediaWiki 1.33.0https://www.slicer.org/w/index.php?title=Documentation/4.3/Modules/SobolevSegmenter&diff=36723Documentation/4.3/Modules/SobolevSegmenter2013-11-27T02:40:08Z<p>Anry123: </p>
<hr />
<div><noinclude>{{documentation/versioncheck}}</noinclude><br />
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{{documentation/{{documentation/version}}/module-header}}<br />
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<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research through grant U54 EB005149. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|Image:UAB_logo.png|University of Alabama at Birmingham <br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
This extension implements Sobolev inner product based active contour, using the Chan-Vese energy functional. The segmentation is appropriate for 2D images. Extensions are being made now to the 3D case and will be available in the near future. The parametric contour is generally smooth, and able to capture concavities. <br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
The Sobolev segmenter is a general image segmenter, and it can be used with any type of data, as explained in the tutorial.<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
The 2D Sobolev segmentation:<br />
# Load the image (input volume): [[File:DICOM_example.jpg|200 px]]<br />
# Use built in editor to select a single initial mask (or load a binary mask file): [[File:mask_example.jpg|200 px]]<br />
# Select Segmenation->SobolevSegmenter module<br />
# Choose the Input Volume and the Initial Mask accordingly. Create a new volume for the Output Volume.<br />
# Press Apply button.<br />
# After a few second the following output volume should appear: [[File:Output_example.png|200 px]]<br />
<br />
The 3D volume segmentation tutorial:<br />
[http://www.slicer.org/slicerWiki/images/f/f7/Sobolev.mp4]<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
The module has the following panel:<br />
<br />
[[File:Sobolev_panel.png]]<br />
<br />
The IO section of this panel defines two input images (data and initial mask) and one output image (final mask). The algorithm has three parameters: self-explanatory number of iterations and contour evolution step size. In addition, the parameter lambda chooses the smoothness of the contour (smoothing kernel width).<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
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{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
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{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
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{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
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{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=36722Documentation/Nightly/Modules/SobolevSegmenter2013-11-27T02:38:56Z<p>Anry123: </p>
<hr />
<div><noinclude>{{documentation/versioncheck}}</noinclude><br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research through grant U54 EB005149. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|Image:UAB_logo.png|University of Alabama at Birmingham <br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
This extension implements Sobolev inner product based active contour, using the Chan-Vese energy functional. The segmentation is appropriate for 2D images. Extensions are being made now to the 3D case and will be available in the near future. The parametric contour is generally smooth, and able to capture concavities. <br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
The Sobolev segmenter is a general image segmenter, and it can be used with any type of data, as explained in the tutorial.<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
The 2D image segmentation:<br />
# Load the image (input volume): [[File:DICOM_example.jpg|200 px]]<br />
# Use built in editor to select a single initial mask (or load a binary mask file): [[File:mask_example.jpg|200 px]]<br />
# Select Segmenation->SobolevSegmenter module<br />
# Choose the Input Volume and the Initial Mask accordingly. Create a new volume for the Output Volume.<br />
# Press Apply button.<br />
# After a few second the following output volume should appear: [[File:Output_example.png|200 px]]<br />
<br />
The 3D volume segmentation tutorial:<br />
[http://www.slicer.org/slicerWiki/images/f/f7/Sobolev.mp4]<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
The module has the following panel:<br />
<br />
[[File:Sobolev_panel.png]]<br />
<br />
The IO section of this panel defines two input images (data and initial mask) and one output image (final mask). The algorithm has three parameters: self-explanatory number of iterations and contour evolution step size. In addition, the parameter lambda chooses the smoothness of the contour (smoothing kernel width).<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
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{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=File:Sobolev.mp4&diff=36721File:Sobolev.mp42013-11-27T02:30:06Z<p>Anry123: Tutorial for using 3D Sobolev Segmenter</p>
<hr />
<div>Tutorial for using 3D Sobolev Segmenter</div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=30752Documentation/Nightly/Modules/SobolevSegmenter2013-02-25T17:48:27Z<p>Anry123: </p>
<hr />
<div><!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research through grant U54 EB005149. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|Image:UAB_logo.png|University of Alabama at Birmingham <br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
This extension implements Sobolev inner product based active contour, using the Chan-Vese energy functional. The segmentation is appropriate for 2D images. Extensions are being made now to the 3D case and will be available in the near future. The parametric contour is generally smooth, and able to capture concavities. <br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
The Sobolev segmenter is a general image segmenter, and it can be used with any type of data, as explained in the tutorial.<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
# Load the image (input volume): [[File:DICOM_example.jpg|200 px]]<br />
# Use built in editor to select a single initial mask (or load a binary mask file): [[File:mask_example.jpg|200 px]]<br />
# Select Segmenation->SobolevSegmenter module<br />
# Choose the Input Volume and the Initial Mask accordingly. Create a new volume for the Output Volume.<br />
# Press Apply button.<br />
# After a few second the following output volume should appear: [[File:Output_example.png|200 px]]<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
The module has the following panel:<br />
<br />
[[File:Sobolev_panel.png]]<br />
<br />
The IO section of this panel defines two input images (data and initial mask) and one output image (final mask). The algorithm has three parameters: self-explanatory number of iterations and contour evolution step size. In addition, the parameter lambda chooses the smoothness of the contour (smoothing kernel width).<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=30751Documentation/Nightly/Modules/SobolevSegmenter2013-02-25T17:46:20Z<p>Anry123: </p>
<hr />
<div><!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research through grant U54 EB005149. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|Image:UAB_logo.png|University of Alabama at Birmingham <br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
This extension implements Sobolev inner product based active contour, using the Chan-Vese energy functional. The segmentation is appropriate for 2D images. Extensions are being made now to the 3D case and will be available in the near future. The parametric contour is generally smooth, and able to capture concavities. <br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
The Sobolev segmenter is a general image segmenter, and it can be used with any 2D data, as explained in the tutorial.<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
# Load the image (input volume): [[File:DICOM_example.jpg|200 px]]<br />
# Use built in editor to select a single initial mask (or load a binary mask file): [[File:mask_example.jpg|200 px]]<br />
# Select Segmenation->SobolevSegmenter module<br />
# Choose the Input Volume and the Initial Mask accordingly. Create a new volume for the Output Volume.<br />
# Press Apply button.<br />
# After a few second the following output volume should appear: [[File:Output_example.png|200 px]]<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
The module has the following panel:<br />
<br />
[[File:Sobolev_panel.png]]<br />
<br />
The IO section of this panel defines two input images (data and initial mask) and one output image (final mask). The algorithm has three parameters: self-explanatory number of iterations and contour evolution step size. In addition, the parameter lambda chooses the smoothness of the contour (smoothing kernel width).<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=File:SobolevSegmenter.png&diff=30748File:SobolevSegmenter.png2013-02-25T16:15:51Z<p>Anry123: uploaded a new version of "File:SobolevSegmenter.png"</p>
<hr />
<div></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Extensions&diff=30746Documentation/Nightly/Extensions2013-02-25T03:23:19Z<p>Anry123: /* Cat 2 */</p>
<hr />
<div><noinclude><br />
__TOC__<br />
</noinclude>= Extensions by Category =<br />
<br />
==Cat 1==<br />
<br />
==Cat 2==<br />
* [[Documentation/{{documentation/version}}/Extensions/SkullStripper|SkullStripper]] (Xiaodong Tao)<br />
* [[Documentation/{{documentation/version}}/Extensions/CARMA|CARMA]] (Alan Morris, Salma Bengali)[[image:UnderConstruction.png|tumb|10px]]<br />
* [[Documentation/{{documentation/version}}/Extensions/PkModeling|PkModeling]] (Emma Zhu, Jim Miller)<br />
* [[Documentation/{{documentation/version}}/Extensions/FacetedVisualizer|FacetedVisualizer]] (Harini Veeraraghavan, Jim Miller)<br />
* [[Documentation/{{documentation/version}}/Extensions/Reporting|Reporting]] (Andrey Fedorov, Nicole Aucoin, Steve Pieper) (work in progress)<br />
* [[Documentation/{{documentation/version}}/Extensions/SlicerRT|SlicerRT]] (Csaba Pinter, Andras Lasso, Kevin Wang, Steve Pieper)<br />
** [[Documentation/{{documentation/version}}/Modules/DicomRtImport|DICOM-RT import]]<br />
** [[Documentation/{{documentation/version}}/Modules/Contours|Contours]]<br />
** [[Documentation/{{documentation/version}}/Modules/DoseVolumeHistogram|Dose volume histogram]]<br />
** [[Documentation/{{documentation/version}}/Modules/DoseAccumulation|Dose accumulation]]<br />
** [[Documentation/{{documentation/version}}/Modules/DoseComparison|Dose comparison]]<br />
** [[Documentation/{{documentation/version}}/Modules/Isodose|Isodose line and surface display]]<br />
** Modules from [[Documentation/{{documentation/version}}/Extensions/Plastimatch|Plastimatch]] (Greg Sharp)<br />
*** [[Documentation/{{documentation/version}}/Modules/PlmBSplineDeformableRegistration|Plastimatch Automatic deformable image registration]]<br />
*** [[Documentation/{{documentation/version}}/Modules/PlmDICOMRTImport|Plastimatch DICOM-RT import]]<br />
*** [[Documentation/{{documentation/version}}/Modules/PlmDICOMRTExport|Plastimatch DICOM-RT export]] [[image:UnderConstruction.png|tumb|10px]]<br />
*** [[Documentation/{{documentation/version}}/Modules/PlmLANDWARP|Plastimatch LANDWARP Landmark]]<br />
*** [[Documentation/{{documentation/version}}/Modules/PlmXFORMWARP|Plastimatch XFORMWARP]] [[image:UnderConstruction.png|tumb|10px]]<br />
* [[Documentation/{{documentation/version}}/Extensions/VolumeResliceDriver|VolumeResliceDriver]] (Junichi Tokuda, Laurent Chauvin)<br />
* [[Documentation/{{documentation/version}}/Extensions/iGyne|iGyne]] (Xiaojun Chen and iGyne Team)<br />
* [[Documentation/{{documentation/version}}/Extensions/LongitudinalPETCT|LongitudinalPETCT]] (Paul Mercea, Andrey Fedorov)<br />
* [[Documentation/{{documentation/version}}/Extensions/DTIProcess|DTIProcess]] (Francois Budin)<br />
* [[Documentation/{{documentation/version}}/Extensions/DTIAtlasFiberAnalyzer|DTIAtlasFiberAnalyzer]] (Francois Budin)<br />
* [[Documentation/{{documentation/version}}/Extensions/FiberViewerLight|FiberViewerLight]] (Francois Budin)<br />
* [[Documentation/{{documentation/version}}/Extensions/DTIPrep|DTIPrep]] (Francois Budin)<br />
* [[Documentation/{{documentation/version}}/Extensions/DTIAtlasBuilder|DTIAtlasBuilder]] (Adrien Kaiser)<br />
* [[Documentation/{{documentation/version}}/Extensions/TubeTK|TubeTK]] (Stephen Aylward, Jean-Christophe Fillion-Robin, Christopher Mullins, Michael Jeulin-L, Matthew McCormick)<br />
* [[Documentation/{{documentation/version}}/Extensions/UKFTractography|UKFTractography]] (Ryan Eckbo, Yogesh Rathi)<br />
* [[Documentation/{{documentation/version}}/Extensions/TrackerStabilizer|TrackerStabilizer]] (Laurent Chauvin, Jayender Jagadeesan)<br />
* [[Documentation/{{documentation/version}}/Extensions/ChangeTracker|ChangeTracker]] (Andrey Fedorov)<br />
* [[Documentation/{{documentation/version}}/Extensions/SobolevSegmenter|SobolevSegmenter]] (Arie Nakhmani)<br />
<br />
==Cat 3==<br />
* [[Documentation/{{documentation/version}}/Extensions/LesionSegmentation|LesionSegmentation]] (Mark Scully)<br />
**[[Documentation/{{documentation/version}}/Modules/TrainModel|LesionSegmentation->TrainModel]] (Mark Scully)<br />
**[[Documentation/{{documentation/version}}/Modules/PredictLesions|LesionSegmentation->PredictLesions]] (Mark Scully)<br />
<br />
<noinclude><br />
{{:Documentation/{{documentation/version}}/FAQ/Extensions|Extensions}}<br />
</noinclude></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Extensions/SobolevSegmenter&diff=30745Documentation/Nightly/Extensions/SobolevSegmenter2013-02-25T03:21:02Z<p>Anry123: Redirected page to Documentation/Nightly/Modules/SobolevSegmenter</p>
<hr />
<div>#REDIRECT [[Documentation/Nightly/Modules/SobolevSegmenter]]</div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=30744Documentation/Nightly/Modules/SobolevSegmenter2013-02-25T03:17:44Z<p>Anry123: </p>
<hr />
<div><!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|Image:UAB_logo.png|University of Alabama at Birmingham <br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
This extension implements Sobolev inner product based active contour, using Chan-Vese energy functional. The segmentation is appropriate for 2D images. The obtained parametric contour is generally smooth, but able to catch concavities. <br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
The Sobolev segmenter is a general image segmenter, and it can be used with any 2D data, as explained in the tutorial.<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
# Load the image (input volume): [[File:DICOM_example.jpg|200 px]]<br />
# Use built in editor to select a single initial mask (or load a binary mask file): [[File:mask_example.jpg|200 px]]<br />
# Select Segmenation->SobolevSegmenter module<br />
# Choose the Input Volume and the Initial Mask accordingly. Create a new volume for the Output Volume.<br />
# Press Apply button.<br />
# After a few second the following output volume should appear: [[File:Output_example.png|200 px]]<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
The module has the following panel:<br />
<br />
[[File:Sobolev_panel.png]]<br />
<br />
The IO section of this panel defines two input images (data and initial mask) and one output image (final mask). The algorithm has three parameters: self-explanatory number of iterations and contour evolution step size. In addition, the parameter lambda chooses the smoothness of the contour (smoothing kernel width).<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
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{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=30743Documentation/Nightly/Modules/SobolevSegmenter2013-02-25T03:16:27Z<p>Anry123: </p>
<hr />
<div><!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|Image:UAB_logo.png|University of Alabama at Birmingham <br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
This extension implements Sobolev inner product based active contour, using Chan-Vese energy functional. The segmentation is appropriate for 2D images. The obtained parametric contour is generally smooth, but able to catch concavities. <br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
The Sobolev segmenter is a general image segmenter, and it can be used with any 2D data, as explained in the tutorial.<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
# Load the image (input volume): [[File:DICOM_example.jpg|200 px]]<br />
# Use built in editor to select a single initial mask (or load a binary mask file): [[File:mask_example.jpg|200 px]]<br />
# Select Segmenation->SobolevSegmenter module<br />
# Choose the Input Volume and the Initial Mask accordingly. Create a new volume for the Output Volume.<br />
# Press Apply button.<br />
# After a few second the following output volume should appear: [[File:Output_example.png|200 px]]<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
The module has the following panel:<br />
[[File:Sobolev_panel.png]]<br />
The IO section of this panel defines two input images (data and initial mask) and one output image (final mask). The algorithm has three parameters: self-explanatory number of iterations and contour evolution step size. In addition, the parameter lambda chooses the smoothness of the contour (smoothing kernel width).<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
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{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
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{{documentation/{{documentation/version}}/module-section|References}}<br />
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{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
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{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=File:Sobolev_panel.png&diff=30742File:Sobolev panel.png2013-02-25T03:11:57Z<p>Anry123: </p>
<hr />
<div></div>Anry123https://www.slicer.org/w/index.php?title=File:Output_example.png&diff=30741File:Output example.png2013-02-25T03:11:34Z<p>Anry123: </p>
<hr />
<div></div>Anry123https://www.slicer.org/w/index.php?title=File:Mask_example.jpg&diff=30740File:Mask example.jpg2013-02-25T03:11:01Z<p>Anry123: </p>
<hr />
<div></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=30739Documentation/Nightly/Modules/SobolevSegmenter2013-02-25T03:10:32Z<p>Anry123: </p>
<hr />
<div><!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|Image:UAB_logo.png|University of Alabama at Birmingham <br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
This extension implements Sobolev inner product based active contour, using Chan-Vese energy functional. The segmentation is appropriate for 2D images. The obtained parametric contour is generally smooth, but able to catch concavities. <br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
The Sobolev segmenter is general and can be used with any 2D data, as explained in the tutorial.<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
# Load the image (input volume): [[File:DICOM_example.jpg|200 px]]<br />
# Use built in editor to select an initial mask (or load a binary mask file): [[File:mask_example.jpg|200 px]]<br />
# Select Segmenation->SobolevSegmenter module<br />
# Choose the Input Volume and the Initial Mask accordingly. Create a new volume for the Output Volume.<br />
# Press Apply button.<br />
# After a few second the following output volume should appear: [[File:Output_example.png|200 px]]<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
The module has the following panel:<br />
[[File:Sobolev_panel.png]]<br />
The IO section of this panel defines two input images (data and initial mask) and one output image (final mask). The algorithm has three parameters: self-explanatory number of iterations and contour evolution step size. In addition, the parameter lambda chooses the smoothness of the contour (smoothing kernel width).<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
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{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
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{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=File:DICOM_example.jpg&diff=30738File:DICOM example.jpg2013-02-25T02:47:30Z<p>Anry123: </p>
<hr />
<div></div>Anry123https://www.slicer.org/w/index.php?title=File:UAB_logo.png&diff=30737File:UAB logo.png2013-02-25T02:34:46Z<p>Anry123: </p>
<hr />
<div></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=30736Documentation/Nightly/Modules/SobolevSegmenter2013-02-25T02:34:21Z<p>Anry123: </p>
<hr />
<div><!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|Image:UAB_logo.png|University of Alabama at Birmingham <br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
N/A<br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
N/A<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
<br />
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{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=File:UAB_logo.jpg&diff=30735File:UAB logo.jpg2013-02-25T02:32:24Z<p>Anry123: </p>
<hr />
<div></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=30734Documentation/Nightly/Modules/SobolevSegmenter2013-02-25T02:28:42Z<p>Anry123: </p>
<hr />
<div><!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|{{collaborator|logo|UAB}}|{{collaborator|longname|UAB}} <br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
N/A<br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
N/A<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=30733Documentation/Nightly/Modules/SobolevSegmenter2013-02-25T02:27:23Z<p>Anry123: </p>
<hr />
<div><!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: Arie Nakhmani, UAB<br><br />
Contributor1: Allen Tannenbaum, UAB<br><br />
Contact: Arie Nakhmani, <email>nakhmani@gmail.com</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|{{collaborator|logo|isomics}}|{{collaborator|longname|isomics}} <- Replace this logo with yours<br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
N/A<br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
N/A<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123https://www.slicer.org/w/index.php?title=File:SobolevSegmenter.png&diff=30732File:SobolevSegmenter.png2013-02-25T01:49:05Z<p>Anry123: </p>
<hr />
<div></div>Anry123https://www.slicer.org/w/index.php?title=Documentation/Nightly/Modules/SobolevSegmenter&diff=30731Documentation/Nightly/Modules/SobolevSegmenter2013-02-25T01:20:48Z<p>Anry123: Created page with '<!-- ---------------------------- --> {{documentation/{{documentation/version}}/module-header}} <!-- ---------------------------- --> <!-- ---------------------------- --> {{doc…'</p>
<hr />
<div><!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-header}}<br />
<!-- ---------------------------- --><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}<br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br><br />
Author: FIRSTNAME LASTNAME, AFFILIATION<br><br />
Contributor1: FIRSTNAME LASTNAME, AFFILIATION<br><br />
Contributor2: FIRSTNAME LASTNAME, AFFILIATION<br><br />
Contact: FIRSTNAME LASTNAME, <email>john@doe.org</email><br><br />
{{documentation/{{documentation/version}}/module-introduction-row}}<br />
{{documentation/{{documentation/version}}/module-introduction-logo-gallery<br />
|{{collaborator|logo|isomics}}|{{collaborator|longname|isomics}} <- Replace this logo with yours<br />
|{{collaborator|logo|spl}}|{{collaborator|longname|spl}} <-Replace this logo with yours<br />
}}<br />
{{documentation/{{documentation/version}}/module-introduction-end}}<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Module Description}}<br />
N/A<br />
<!--<br />
Here comes a description what the module is good for. Explain briefly how it works and point to the [[documentation/{{documentation/version}}/Modules/{{documentation/modulename}}#References|references]] giving more details on the algorithm.<br />
<br />
If you are documenting a CLI, the description should be extracted from the corresponding XML description. This could be done automatically using the following wiki template:<pre>{{documentation/{{documentation/version}}/module-description}}<br />
<br />
{{documentation/{{documentation/version}}/module-description}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Use Cases}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Tutorials}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Panels and their use}}<br />
N/A<br />
<!--<br />
{{documentation/{{documentation/version}}/module-parametersdescription}}<br />
--><br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Similar Modules}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|References}}<br />
N/A<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-section|Information for Developers}}<br />
{{documentation/{{documentation/version}}/module-developerinfo}}<br />
<br />
<br />
<!-- ---------------------------- --><br />
{{documentation/{{documentation/version}}/module-footer}}<br />
<!-- ---------------------------- --></div>Anry123