Projects

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

Open-Source Software Tools for Rapid Radiofrequency Coil Modeling and Simulation in MRI

This project develops open-source, memory-efficient electromagnetic simulation tools using tensor decompositions and optimization techniques to improve RF coil modeling for ultra-high field MRI, enhancing image quality and safety while reducing computational and licensing barriers.

COILS   SIMULATIONS   SOFTWARE

Noninvasive Estimation of Electrical Properties from Magnetic Resonance Measurements

This project develops a three-pronged strategy—combining global inverse modeling, physics-informed neural networks, and vision transformers—to generate high-resolution maps of tissue electrical properties using MRI, with broad applications in medical imaging and treatment.

QUANTITATIVE MRI   SIMULATIONS

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

In Vivo Insights into Aging-Related Small-Vessel Changes Using USPIO-Enhanced MRI

This project aims to develop an ultra-high-resolution USPIO-enhanced MRI technique to visualize the brain's microvascular architecture, quantify vascular density, and investigate age-related neurovascular changes, potentially advancing the understanding of microvascular aging and its role in neurologic disorders.

AGING   BRAIN
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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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