Difference between revisions of "Documentation/Nightly/Extensions/PETTumorSegmentation"
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Acknowledgments: | Acknowledgments: | ||
| − | 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 | + | 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> |
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> | ||
Revision as of 15:20, 19 June 2017
Home < Documentation < Nightly < Extensions < PETTumorSegmentation
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For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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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. License: Slicer License | |||||||
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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
Modules
- PET Tumor Segmentation Editor Effect for use with Slicer's Labelmap Editor
- 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
- Source code: https://github.com/QIICR/PETTumorSegmentation
