QuantitativeReporting-guide
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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:

    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​

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

    1.
    ​Informatics Technology for Cancer Research (ITCR)​
    2.
    ​Quantitative Imaging Network (QIN)​
    3.
    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​
    4.
    Sample data: TCIA QIN-HEADNECK collection
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Overview
Capabilities of QuantitativeReporting Include: