2016 Summer Project Week/dcmqi
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Key Investigators
- Andrey Fedorov
- Christian Herz
- Marco Nolden
- Hans Meine
- Csaba Pinter
- Steve Pieper
References (why does it mess up formatting if I put this section in the end?!!)
- 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
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
- 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