We are delighted to receive a new 5-year R01 grant from The National Institutes of Health and the National Institute of Arthritis and Musculoskeletal and Skin Disease (NIAMS).
This new funding will support our lab at Harvard Medical School and Massachusetts General Hospital to explore a fundamentally new approach to advancing musculoskeletal MRI in all aspects, including rapid image acquisition, reconstruction, advanced image analysis & tissue quantification, and efficient streamlining processing, all through developing cutting-edge Artificial Intelligence and Machine Learning algorithms.
Again, we want to thank the grant sponsors and all scientific reviewers for the constructive and invaluable comments and suggestions that made this project greatly improved and finally funded.
This project will develop, optimize and evaluate a rapid 5-minute knee MRI protocol consisting of all clinical sequences and additional T2 mapping sequences, enabling imaging of the whole knee for both morphological and quantitative assessment of joint pathology. The proposed technique explores the acceleration of knee MRI by leveraging the latest deep learning technology combined with novel image acquisition and automatic processing. Given the increasing prevalence of knee osteoarthritis and the overall cumulative knee injuries, our novel imaging methods would offer a unique opportunity to improve joint health care, reduce healthcare costs, and benefit a large population that suffers knee pain and joint discomfort in the United States.
NIH RePORT