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

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Acknowledgments:
 
Acknowledgments:
This work is funded in part by [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin/iowa Quantitative Imaging to Assess Response in Cancer Therapy Trials] NIH grant U01-CA140206 and [http://qiicr.org Quantitative Image Informatics for Cancer Research (QIICR)] NIH grant U24 CA180918. <br>
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The UIowa [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin QIN] PET Tumor Segmentation tool was  funded in part by [http://imaging.cancer.gov/programsandresources/specializedinitiatives/qin/iowa Quantitative Imaging to Assess Response in Cancer Therapy Trials] NIH grant U01-CA140206, [http://qiicr.org Quantitative Image Informatics for Cancer Research (QIICR)] NIH grant U24 CA180918, and Graph-based Medical Image Segmentation in 3D and 4D NIH grant R01 EB004640.<br>
Contributors: Christian Bauer (University of Iowa), Markus van Tol (University of Iowa), Ethan Ulrich (University of Iowa), Reinhard Beichel (University of Iowa), John Buatti (University of Iowa)<br>
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Authors: Christian Bauer (University of Iowa), Markus van Tol (University of Iowa) <br>
Contact: Christian Bauer, <email>christian-bauer@uiowa.edu</email><br>
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Contributors: Ethan Ulrich (University of Iowa), Andrey Fedorov (SPL), Reinhard Beichel (University of Iowa), John Buatti (University of Iowa)<br>
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Contact: <email>qin@iibi.uiowa.edu</email><br>
  
 
License: [http://www.slicer.org/pages/LicenseText Slicer License]
 
License: [http://www.slicer.org/pages/LicenseText Slicer License]
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{{documentation/{{documentation/version}}/extension-section|Extension Description}}
 
{{documentation/{{documentation/version}}/extension-section|Extension Description}}
Segmentation of tumors and hot lymph nodes in PET scans. The software is based on the thesis of Markus L. van Tol (2014): "A Graph-Based Method for Segmentation of Tumors and Lymph Nodes in Volumetric PET Images" and implemented as a Slicer Editor Effect.
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This tool provides an Editor-Effect for semi-automated segmentation of tumors and hot lymph nodes in PET scans. A detailed description and evaluation of the method can be found in Beichel et al. (2016): "Semiautomated Segmentation of Head and Neck Cancers in 18F-FDG PET Scans: A Just-Enough-Interaction Approach", in Medical Physics. [http://dx.doi.org/10.1118/1.4948679 http://dx.doi.org/10.1118/1.4948679]
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[[File:PETTumorSegmentationExtensionIcon.png|PET Tumor Segmentation Extension]]
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*[[Documentation/{{documentation/version}}/Modules/PETTumorSegmentationEffect|PET Tumor Segmentation Editor Effect]]
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*PETTumorSegmentation Plugin: This plugin provides the functionality used by the editor effect for the actual processing. It is hidden from the GUI and not intended to be used directly.
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*[[Documentation/{{documentation/version}}/Modules/PETTumorSegmentationEffect|PET Tumor Segmentation Editor Effect]] for use with Slicer's Labelmap Editor
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*[[Documentation/{{documentation/version}}/Modules/PETTumorSegmentEditorEffect|PET Tumor Segmentation Segment Editor Effect]] for use with Slicer's Segment Editor
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*PETTumorSegmentation Plugin: This plugin provides the functionality used by the editor effects for the actual processing. It is hidden from the GUI and not intended to be used directly.
  
 
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{{documentation/{{documentation/version}}/extension-section|Information for Developers}}
 
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* Source code: https://github.com/QIICR/PETTumorSegmentation
* Source code: https://github.com/chribaue/PETTumorSegmentation
 
  
 
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Latest revision as of 17:17, 21 July 2022

Home < Documentation < Nightly < Extensions < PETTumorSegmentation


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


Introduction and Acknowledgements

Acknowledgments: The UIowa QIN PET Tumor Segmentation tool was funded in part by Quantitative Imaging to Assess Response in Cancer Therapy Trials NIH grant U01-CA140206, Quantitative Image Informatics for Cancer Research (QIICR) NIH grant U24 CA180918, and Graph-based Medical Image Segmentation in 3D and 4D NIH grant R01 EB004640.
Authors: Christian Bauer (University of Iowa), Markus van Tol (University of Iowa)
Contributors: Ethan Ulrich (University of Iowa), Andrey Fedorov (SPL), Reinhard Beichel (University of Iowa), John Buatti (University of Iowa)
Contact: <email>qin@iibi.uiowa.edu</email>

License: Slicer License

The University of Iowa (UIowa)  
Quantitative Image Informatics for Cancer Research  
National Alliance for Medical Image Computing (NA-MIC)  

Extension Description

This tool provides an Editor-Effect for semi-automated segmentation of tumors and hot lymph nodes in PET scans. A detailed description and evaluation of the method can be found in Beichel et al. (2016): "Semiautomated Segmentation of Head and Neck Cancers in 18F-FDG PET Scans: A Just-Enough-Interaction Approach", in Medical Physics. http://dx.doi.org/10.1118/1.4948679

PET Tumor Segmentation Extension

Modules

  • PET Tumor Segmentation Segment Editor Effect for use with Slicer's Segment Editor
  • PETTumorSegmentation Plugin: This plugin provides the functionality used by the editor effects for the actual processing. It is hidden from the GUI and not intended to be used directly.

Information for Developers