Difference between revisions of "2016 Summer Project Week/dcmqi"
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| − | * web app for populating SEG metadata: http://qiicr.org/dcmqi | + | * created/extended web app for populating SEG metadata: http://qiicr.org/dcmqi |
| − | * experimental addition of | + | * experimental addition of Brainlab segmentation objects [https://github.com/QIICR/dcmqi/pull/22] |
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Revision as of 13:06, 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
- created/extended web app for populating SEG metadata: http://qiicr.org/dcmqi
- experimental addition of Brainlab segmentation objects [1]
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
