Documentation/Nightly/Extensions/PET-IndiC

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Introduction and Acknowledgements

Acknowledgments: The UIowa QIN PET-IndiC Extension 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: Ethan Ulrich (University of Iowa) Contributors: Markus van Tol (University of Iowa), Christian Bauer (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

The PET-IndiC Extension allows calculation of quantitative indices related to PET scans such as as Peak, Volume, Total lesion Glycolysis (TLG) and includes:

• Quantitative Indices Tool GUI module for use with labelmaps
• PET Volume Segment Statistics Plugin that integrates with Slicer's Segment Statistics module module for use with Slicer's Segments.

A detailed description of all supported indices can be found in Quantitative Indices CLI. To provide proper units for gray-value dependent indices, the image dataset must be loaded from a DICOM dataset via Slicer's DICOM module.

Quantitative Indices Tool GUI module

Lesion labelmap

PET Volume Segment Statistics Plugin

Modules

• Quantitative Indices Tool for use with labelmaps
• PET Volume Segment Statistics Plugin for use with Slicer Segments
• Quantitative Indices CLI for command line usage outside of the Slicer GUI

Information for Developers

• Source code: https://github.com/QIICR/PET-IndiC