Difference between revisions of "2016 Summer Project Week/dcmqi"

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<h3>Progress</h3>
 
<h3>Progress</h3>
 
* web app for populating SEG metadata: http://qiicr.org/dcmqi
 
* web app for populating SEG metadata: http://qiicr.org/dcmqi
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* experimental addition of brainlab segmentation objects [https://github.com/QIICR/dcmqi/pull/22]
 
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Revision as of 11:08, 24 June 2016

Home < 2016 Summer Project Week < dcmqi

Key Investigators

  • Andrey Fedorov
  • Christian Herz
  • Marco Nolden
  • Hans Meine
  • Csaba Pinter
  • Steve Pieper
  • Caspar Goch (Mon)

Project Description

Objective

  • dcmqi (DICOM for Quantitative Imaging) is a library to help with the DICOM data handling and conversion tasks in quantitative image analysis.
  • This week we will work to improve functionality of the library, discuss API with the prospective users, and collect feedback.

Approach, Plan

  • Add testing and integrate refactoring of the DICOM SEG converter
    • discuss options for hosting test data: Midas, git-lfs, ...
  • Work on DICOM SR TID1500 converter
  • Explore integration with MITK, MevisLab and Slicer Segmentation Editor
  • Work on the web application for populating SEG metadata

Progress


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
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