Introduction
Overview
QuantitativeReporting is an 3D Slicer extension to support segmentation-based measurements with DICOM-based import and export of the results. The extension comes with a variety of plugins for loading DICOM Segmentations, Parametric Maps and Structured reports into Slicer.
Capabilities of QuantitativeReporting Include:
QuantitativeReporting Include:Loading of DICOM image series (CT, MRI)
Interactive image annotation using automated segmentation tools of 3D Slicer
Automatic calculation of segmentation-based measurements statistics
Saving of the segmentation-based measurements as a linked collection of DICOM objects:
DICOM Structured Report TID 1500
DICOM Segmentation
Loading and display of the volumetric measurements from SR+SEG
Support
Please feel free to contact us for questions, feedback, suggestions, bugs, or you can create issues in the issue tracker: https://github.com/QIICR/QuantitativeReporting/issues
Andrey Fedorov fedorov@bwh.harvard.edu
Christian Herz cherz@bwh.harvard.edu
Acknowledgments
This work is supported in part the National Institutes of Health, National Cancer Institute, Informatics Technology for Cancer Research (ITCR) program, grant Quantitative Image Informatics for Cancer Research (QIICR) (U24 CA180918, PIs Kikinis and Fedorov).
References
Fedorov A, Clunie D, Ulrich E, Bauer C, Wahle A, Brown B, et al. 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 [Internet]. 2016;4:e2057. Available from: http://dx.doi.org/10.7717/peerj.2057
Sample data: TCIA QIN-HEADNECK collection
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