MRI Annotation for Computer Vision analyses

The NIH Office of Logistics and Acquisition Operations (OLAO) requires diagnostic interpretation and structured image annotation for high-resolution Whole-Body MRI (WBMRI) scans. This work supports a Natural History study of a 200-case cohort with Spondyloarthritis. The goal is to produce data for training and validating deep learning models used to detect and quantify inflammation. Under solicitation 75N98026Q00531, the contractor will provide personnel, equipment, and facilities to execute the Statement of Work. The scope covers various MRI sequences, including Coronal, Axial, and Sagittal STIR across the sacrum, pelvis, spine, and extremities. Work will be performed in Maryland and assigned through specific requests from the Contracting Officer. This is an SBA set-aside with a response deadline of June 15, 2026. Technical requirements and administrative protocols are detailed in the provided Statement of Work. The contractor provides all services, personnel, materials, and facilities for the Statement of Work. Tasks are assigned via specific requests from the Contracting Officer and coordinated with the COR and Program Task Leader. Annotating a 200-case cohort to support deep learning models for inflammation detection.