Who is this for?
Institutions looking to integrate research imaging from disparate sources.
How do you parallelize?
- Integrate into GRIP Imaging Pipelines
- Use common tools (Docker, Kubernetes) for containerization and orchestration
Tool Category: Imaging Data Prep (OMOP)
Function: OMOP standardization of DICOM Imaging Studies
Tool type: Harmonization/Standardization
Key Capabilities:
- Harvests DICOM Imaging Studies and extracts meta data describing the voxel spatial and intensity characteristics describing the imaging physics
Based on:
- Imaging data model extension of the OMOP Common Data Model
Works With:
- DICOM Studies / OMOP Data Model
Potential use cases:
- Enables reproducible and computational inclusion/exclusion criteria of imaging studies based on DICOM meta data