Documentation/4.10/Extensions/PETTumorSegmentation

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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

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