Projects

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

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

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

Multinuclear MRI to Monitor Breast Cancer Therapy

This project develops a multinuclear MRI technique using sodium (23Na) and hydrogen (1H) MR fingerprinting at 3 T to create imaging biomarkers for assessing early breast cancer response to neoadjuvant chemotherapy (NACT) and guiding treatment decisions.

BREAST   X-NUCLEI

Multinuclear Fingerprinting

This project develops a noninvasive MRI technique called multinuclear fingerprinting (MNF) at 7 T, combining hydrogen (1H) and sodium (23Na) magnetic resonance fingerprinting with a super-resolution algorithm to create multi-parametric structural and metabolic maps of the human brain, offering insights into its morphology, physiology, and disorders.

QUANTITATIVE MRI   X-NUCLEI
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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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