https://www.slicer.org/w/index.php?action=history&feed=atom&title=Documentation%2F4.8%2FExtensions%2FDCMQIDocumentation/4.8/Extensions/DCMQI - Revision history2026-04-12T21:05:51ZRevision history for this page on the wikiMediaWiki 1.33.0https://www.slicer.org/w/index.php?title=Documentation/4.8/Extensions/DCMQI&diff=55364&oldid=prevUpdateBot: Nightly -> 4.82017-10-18T07:03:26Z<p>Nightly -> 4.8</p>
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Extension: [[Documentation/{{documentation/version}}/Extensions/DCMQI|dcmqi]]<br><br />
Acknowledgments:<br />
This work was supported by the [http://qiicr.org Quantitative Image Informatics for Cancer Research (QIICR)] project via the NIH-National Cancer Institute Grant U24 CA180918.<br><br />
Author: Andrey Fedorov ({{collaborator|name|spl}})<br><br />
Contributor1: Christian Herz ({{collaborator|name|spl}})<br><br />
Contributor2: Jean-Christophe Fillion-Robin ({{collaborator|name|kitware}})<br><br />
Contact: Andrey Fedorov, <email>andrey.fedorov@gmail.com</email><br><br />
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This extension contains the [https://github.com/QIICR/dcmqi#readme DICOM for Quantitative Imaging (dcmqi)] library that provides tools and API for conversions of the quantitative image analysis results (segmentations, measurements, parametric maps) into DICOM format and back.<br />
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Usage overview and documentation for the dcmqi library are available at https://github.com/QIICR/dcmqi#introduction<br />
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The dcmqi extension doesn't provide a GUI, it's intended to be used at the library level by other modules.<br />
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* [http://qiicr.org Quantitative Image Informatics for Cancer Research (QIICR)]<br />
* Herz C, Fillion-Robin JC, Onken M, Riesmeier J, Lasso A, Pinter C, Fichtinger G, Pieper S, Clunie D, Kikinis R, Fedorov A. (2017) dcmqi: an open source library for standardized communication of quantitative image analysis results using DICOM. Cancer Research (in press) [[https://www.dropbox.com/s/qbj0n8an30upmk7/Herz2017-CancerResearch.pdf?raw=1 PDF]]<br />
* Fedorov A, Clunie D, Ulrich E, Bauer C, Wahle A, Brown B, Onken M, Riesmeier J, Pieper S, Kikinis R, Buatti J, Beichel RR. (2016) DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research. PeerJ 4:e2057 https://doi.org/10.7717/peerj.2057<br />
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