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 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> | ||
Revision as of 19:59, 16 March 2015
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 and Quantitative Image Informatics for Cancer Research (QIICR) NIH grant U24 CA180918. 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. (2015): "Semi-automated Segmentation of Head and Neck Cancers using 18F-FDG PET Scans: A Just Enough Interaction Approach", in Medical Physics (submitted).
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
- Source code: https://github.com/QIICR/PETTumorSegmentation
