Federal Project Grant Award Summary

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded The Washington University a Project Grant totaling $119,818 (Award Date: July 1, 2026; Completion Date: June 30, 2030) under CFDA 93.286, Discovery and Applied Research for Technological Innovations to Improve Human Health. The project develops AI-Powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI technology for early detection and monitoring of progressive multiple sclerosis (PMS). The deliverables include an integrated neuroimaging platform that combines deep learning algorithms with gradient echo imaging to generate multiple co-registered, multiparametric MRI contrasts—including R2*, T2*-weighted, FLAIR*, and MP* images—from a single efficient scan. This technology is designed to reduce scan times and motion artifacts while enhancing sensitivity to early structural changes in normal-appearing gray and white matter, facilitating visualization of conventional lesions and advanced pathological markers such as central vein signs and paramagnetic rim lesions.

Specific project aims include development of an AI-GEPCI toolbox using deep learning to generate inherently co-registered multiparametric images from a single MRI acquisition, enabling comprehensive neurological imaging protocols. When combined with quantitative gradient recalled echo maps sensitive to neuronal injury and demyelination, the AI-GEPCI platform provides nuanced assessment of PMS pathology that complements existing imaging approaches. The research is performed at The Washington University's Office of Sponsored Research Services in St. Louis, Missouri, supporting advancement in neuroimaging technology for precision diagnosis and personalized patient care in progressive multiple sclerosis management.