Projects

Quantitative MRI of Skeletal Muscle Aging

This project develops and validates advanced quantitative MRI techniques to assess compositional and structural changes in skeletal muscles of older adults and determine how these changes predict future declines in muscle strength and function.

MSK   QUANTITATIVE MRI

Cloud MR: An Open-Source Software Framework to Democratize MRI Training and Research

This project aims to democratize MRI research by developing Cloud MR, an open-source virtual scanner platform accessible via web browser, enabling MRI experimentation, education, and development without the need for physical MRI machines.

COILS   PULSE SEQUENCES   SIMULATIONS   SOFTWARE

Multinuclear MRI to Assess Joint Homeostasis after Knee Injury

This study aims to develop a predictive model for post-traumatic osteoarthritis (PTOA) progression following anterior cruciate ligament (ACL) injury by integrating imaging, biological, and biomechanical markers to improve understanding, therapeutic targeting, and treatment monitoring.

MSK   X-NUCLEI

Improving the Efficacy of Ultra-Low-Field MRI Using AI

This project aims to develop AI methods to improve the image quality of ultra-low-field MRI to enhance the mobility, accessibility, and efficiency of MRI in clinical radiology and neuroscientific research.

AI   BRAIN

Multiparametric Mapping of Knee Joint with Magnetic Resonance Fingerprinting

This project develops advanced magnetic resonance fingerprinting (MRF) methods enhanced with machine learning to improve the efficiency and robustness of MRI for early detection of osteoarthritis (OA) in the knee by identifying biochemical and structural changes before visible damage occurs.

MSK   QUANTITATIVE MRI
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Researchers at the Center for Biomedical Imaging at NYU Langone Health develop transformative imaging technologies to advance basic science and address unsolved clinical problems.

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