Innovation and Collaboration
Innovation and collaboration set the stage for the first annual School of Medicine Graduate and Medical Student Research Day held on Dec. 7 at the Tinkham Veale University Center. The combined day of research exploration brings graduate and medical students together to showcase research accomplishments and facilitate cross-program collaboration.
All faculty, staff and students are encouraged to attend this inaugural School of Medicine Graduate and Medical Student Research Day to celebrate and engage the School's history and culture of innovation and discovery.
The events throughout the day will facilitate the exchange of ideas between students and faculty while highlighting the outstanding research being conducted in the School of Medicine.
Keynote Lecture (Lunch Provided)
Noon - 1 p.m.: "Quantitative MR Fingerprinting, Translating Advanced Imaging Technology into Clinical Impact" presented by Dan Ma, PhD, assistant professor in the Department of Biomedical Engineering at Case Western Reserve University.
Ma's research focuses on the development and clinical translation of innovative quantitative MRI technology. As the key inventor of MR Fingerprinting and the first author of the seminal MRF paper published in Nature, Ma has made significant contributions in making quantitative MR Fingerprinting fast and robust for various clinical applications. In partnership with the industry, Ma is also actively working on translating the MRF technology into a product to become a clinical routine. Ma is a Junior Fellow, a Young Investigator Awardee, chair of the quantitative MR study group in the International Society of Magnetic Resonance in Medicine and a Senior Member of the National Academy of Inventors.
Abstract:
Quantitative MR Fingerprinting, Translating Advanced Imaging Technology into Clinical Impact
MR Fingerprinting (MRF) is a groundbreaking quantitative imaging technique capable of generating multiple tissue property maps simultaneously from a single MR scan. With demonstrated clinical feasibility, MRF has been successfully designed for various body regions and diseases. In multisite studies spanning multiple vendors, MRF has shown high reproducibility for tissue property mapping, overcoming scanner variations and other confounding factors. This makes MRF a powerful imaging tool for ensuring high quality control of the MRI source data, which is critical for subsequent analysis and informed clinical decision-making. By integrating the precision and sensitivity of MRF with cutting-edge image analysis techniques, we developed a comprehensive quantitative imaging framework, enabling improved diagnosis for epilepsy and brain tumors and early prediction of treatment responses.