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Investigation of Kaapana and XNAT as platforms for data management and collaborative research
- Nadya Shusharina (BWH & MGH)
- Klaus Kades (DKFZ)
- Hanno Gao (DKFZ)
- Randy Gollub (MGH)
- Andrey Fedorov (BWH)
We have installed the platforms on the Googe Cloud Virtual Machines. To investigate the functionalities, we populated the platforms with publicly available datasets.
Ultimately, our goal is to have a platform that can be used to support data management needs for internal research activities.
- Archival of DICOM images
- Flexible and extensible interface to explore archived data
- In-browser visualization of images and annotations
- In-browser segmentation of images
- Integration of analysis tools and their application to the data available in the platform
Approach and Plan
- Continue working on the evaluation of the platforms
- Connect with any of the groups that worked on either Kaapana or XNAT to share experience
- Meet with Kaapana maintainers to debug outstanding issues.
- Work on resolving issues in the GCP installation.
- Clarified status of XNAT OHIF plugin in the OHIF session (see minutes)
Progress and Next Steps
Current unresolved issues
- not clear how to extend the search of DICOM metadata to include arbitrary attributes
- not clear if/how to integrate analysis tools
- workflow to access existing SEG/RTSTRUCT from XNAT-OHIF plugin is unclear (related post here)
- not clear if integration of desktop annotation tools like Slicer is possible
- fixed MITK segmentation flow
- need to build platform from source - deployment from prebuilt solution has limitations
- need to work on integration of Slicer the same way as MITK - should be possible, can follow example, just need time
- overall, no blocking issues identified, just need time to debug/implement
Background and References