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>
 
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>
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>
+
Authors: Christian Bauer (University of Iowa), Markus van Tol (University of Iowa) <br>
Contact: Christian Bauer, <email>christian-bauer@uiowa.edu</email><br>
+
Contributors: Ethan Ulrich (University of Iowa), Andrey Fedorov (SPL), Reinhard Beichel (University of Iowa), John Buatti (University of Iowa)<br>
 +
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]

Revision as of 18:42, 19 January 2015

Home < Documentation < Nightly < Extensions < PETTumorSegmentation


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


Introduction and Acknowledgements

Acknowledgments: This work is 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

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.

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