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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></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:

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


Information for Developers