BIGR XNAT

BIGR XNAT provides centralized sharing and standardized serving of de-identified medical imaging data to support collaborative biomedical imaging research.

Key Features:

• Open-source foundation: Built on the open-source XNAT platform to leverage XNAT-based data management and integration.
• Data sharing and exchange: Facilitates sharing of de-identified medical imaging data across institutions, including magnetic resonance imaging (MRI) modalities.
• Standardized data serving: Enforces standardized formats and protocols to maintain consistency across datasets from different sources.
• Access control: Implements access control mechanisms to restrict sensitive medical imaging data to authorized users.

Scientific Applications:

• Multi-institutional collaborative imaging studies: Supports collaborative research projects that require standardized exchange and integration of de-identified imaging data across sites.
• Brain MRI research: Used by the Biomedical Imaging Group at Erasmus MC to manage and share brain MRI datasets (Klein et al.).

Methodology:

Built on XNAT and employing de-identification, standardized data formats and protocols, and access control mechanisms.