BiRAT – Platform for biomedical image registry, analysis, and translation
Background and Motivation
Biomedical imaging in preclinical research often generates large volumes of data across multiple studies, modalities, and time points. This data is essential for analysis, diagnosis, and decision-making in translational research, but its management presents several challenges.
Current Challenges include:
- Fragmented Data Storage: Researchers store imaging data in local drives, FTP servers, or disconnected archives.
- Lack of Standardized Structure: Inconsistent naming, metadata, and folder hierarchies reduce reproducibility.
- Manual Tracking: Image metadata and annotations are often logged manually in spreadsheets.
- Limited Scalability: Existing solutions don’t support high-volume parallel uploads or nested study hierarchies.
- Security Gaps: Sensitive imaging datasets require access control and audit logging, which are typically missing.
The Biomedical Imaging Registry for Analysis & Translation (BiRAT) tool was created to address these gaps by offering a secure, scalable software platform for managing biomedical imaging data in preclinical research. The platform enables research institutions to efficiently organize, process, and retrieve high-volume imaging data associated with multi-layered studies. At its core, BiRAT supports a hierarchical data model:
Project → Category/Study (with optional sub-categories/studies) → Image Series → Files
This design mirrors the structure of real-world research studies, supporting various modalities (e.g., MRI, PET, CT) and experimental groupings.
The BiRAT web application provides a responsive, role-aware dashboard that enables different users to interact with the system effectively.
