Projects

Understanding CSF Clearance in Aging and Alzheimer’s Brain Through Dynamic Sodium MRI

This study uses advanced MRI techniques to investigate how sleep and aging affect cerebrospinal fluid clearance in healthy individuals and Alzheimer’s patients, aiming to understand the glymphatic system’s role in brain health and disease progression.

AGING   BRAIN   X-NUCLEI

Data-Driven Learning Framework for Fast Quantitative Knee Joint Mapping

This project leverages advanced machine learning and deep learning to optimize T2 and T1rho mapping for knee osteoarthritis (OA), aiming to accelerate MRI techniques and enable earlier detection of cartilage degeneration.

AI   MSK   QUANTITATIVE MRI

Next-Generation RF Coils for Magnetic Resonance-Guided Radiation Therapy

This project aims to develop radiation-compatible, high-channel RF coil arrays using remote circuitry to overcome current limitations in MR-guided radiation therapy and enable advanced imaging with improved signal-to-noise ratio and parallel imaging capabilities.

COILS

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
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