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
utilizes dcmqi library for reading/writing of DICOM SEG/SR demonstrate Quantitative Reporting extension improve documentation discuss next steps and specific open issues	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

Background and References

dcmqi home page: http://github.com/qiicr/dcmqi

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