Difference between revisions of "Documentation/4.4/Extensions/PETTumorSegmentation"

From Slicer Wiki
Jump to: navigation, search
(Created page with '<noinclude>{{documentation/versioncheck}}</noinclude> <!-- ---------------------------- --> {{documentation/{{documentation/version}}/module-header}} <!-- -----------------------…')
 
(added link to paper)
 
(3 intermediate revisions by the same user not shown)
Line 9: Line 9:
 
{{documentation/{{documentation/version}}/module-introduction-row}}
 
{{documentation/{{documentation/version}}/module-introduction-row}}
 
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>
+
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 and [http://qiicr.org Quantitative Image Informatics for Cancer Research (QIICR)] NIH grant U24 CA180918. <br>
 
Authors: Christian Bauer (University of Iowa), Markus van Tol (University of Iowa) <br>
 
Authors: Christian Bauer (University of Iowa), Markus van Tol (University of Iowa) <br>
 
Contributors: Ethan Ulrich (University of Iowa), Andrey Fedorov (SPL), Reinhard Beichel (University of Iowa), John Buatti (University of Iowa)<br>
 
Contributors: Ethan Ulrich (University of Iowa), Andrey Fedorov (SPL), Reinhard Beichel (University of Iowa), John Buatti (University of Iowa)<br>
Line 26: Line 26:
 
<!-- ---------------------------- -->
 
<!-- ---------------------------- -->
 
{{documentation/{{documentation/version}}/extension-section|Extension Description}}
 
{{documentation/{{documentation/version}}/extension-section|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. (2015): "Semi-automated Segmentation of Head and Neck Cancers using 18F-FDG PET Scans: A Just Enough Interaction Approach", in Medical Physics (submitted).
+
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]
  
 
[[File:PETTumorSegmentationExtensionIcon.png|PET Tumor Segmentation Extension]]
 
[[File:PETTumorSegmentationExtensionIcon.png|PET Tumor Segmentation Extension]]

Latest revision as of 13:45, 12 July 2016

Home < Documentation < 4.4 < 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 and Quantitative Image Informatics for Cancer Research (QIICR) NIH grant U24 CA180918.
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 Editor Effect
  • 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.

Information for Developers