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

Neuroimaging Core of NYU Langone’s Alzheimer’s Disease Research Center

The neuroimaging core of NYU Langone’s Alzheimer Disease Research Center supports research on Alzheimer’s and related dementias by developing and applying advanced imaging techniques to aid early diagnosis, track disease progression, and inform novel diagnostics and treatments.

AGING   BRAIN

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

Cellular Viscosity as a Marker for Alzheimer’s Disease Pathology: A Combined Multiparametric MR Spectroscopy and PET Study

This project investigates intracellular viscosity as a potential early marker of neurodegeneration and Alzheimer’s disease by combining PET imaging, blood-based biomarkers, and an innovative technique called magnetic resonance spectroscopic fingerprinting (MRSF), using data from a well-characterized cohort at NYU’s Alzheimer’s Disease Research Center.

AGING   BRAIN

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
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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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