Projects

Prediction Models of Knee Osteoarthritis Incidence and Progression using Deep Learning

This project develops and validates deep-learning models that analyze clinical and imaging data to predict individuals' five-year risk of knee osteoarthritis progression and total knee replacement, aiming to enable early intervention and personalized treatment.

AI   MSK

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

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

Genomic and Imaging Markers to Understand and Predict Progression of Joint Damage After Injury

This study combines genomic analysis and diffusion tensor imaging to identify predictive biomarkers for the risk of developing post-traumatic osteoarthritis (PTOA) following anterior cruciate ligament (ACL) injury in young adults, aiming to improve prevention and therapy development.

MSK

Longitudinal Single-Center Study with Rapid Quantitative Assessment of Knee Joint with Compressed Sensing

This study uses compressive sensing (CS) techniques to accelerate knee MRI and track osteoarthritis (OA) progression by measuring T2 and T1rho relaxation times, enabling faster detection of cartilage degeneration and changes associated with advancing disease.

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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