Difference between revisions of "2017 Winter Project Week/QuantitativeReporting"

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==References==
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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

Revision as of 15:45, 9 January 2017

Home < 2017 Winter Project Week < QuantitativeReporting

Key Investigators

  • Christian Herz, BWH
  • Andrey Fedorov, BWH
  • Andras Lasso, Queen's
  • Csaba Pinter, Queen's

Project Description

An extension of 3D Slicer to support segmentation-based measurements with DICOM-based import and export of the results.

Objective Approach and Plan Progress and Next Steps
  • demonstrate Quantitative Reporting extension
  • improve documentation
  • discuss next steps and specific open issues
  • optimize integration with Terminology Editor (UI specific)
  • get rid of hacks that hide SegmentEditor components individually by iterating over GUI components
  • add functionality for continuing a saved report
  • communication of measurements tables and integrated support into Slicer Table node (CSV/JSON/other approaches - see https://github.com/QIICR/QuantitativeReporting/issues/105)
  • integration of measurement quantities/units into Slicer for volume nodes

QuantitativeReporting-screenshot.jpg

References

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