Projects

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

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

Fingerprinting-Based Neuronal Fiber Identification in Brain Surgery

This study aims to advance understanding of neurodegeneration in VCID by developing postmortem MRI protocols, computational tools, and multi-modal atlases, standardizing MRI and histology methods, and creating extensive imaging and biomaterial resources to support research in AD, ADRD, and related pathologies.

BRAIN   DIFFUSION MRI

Advanced Diffusion MRI in Renal Cancer: Oncologic Control and Renal Functional Reserve

This project investigates REFMAP, an advanced diffusion MRI approach combining IVIM and DTI, to noninvasively diagnose kidney tumors, estimate glomerular filtration rate, and predict renal function outcomes following surgery.

DIFFUSION MRI   KIDNEYS

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
1 … 4 5 6 7

Researchers at the Center for Biomedical Imaging at NYU Langone Health develop transformative imaging technologies to advance basic science and address unsolved clinical problems.

Quick Links
Our Headquarters

660 First Avenue
4th Floor
New York, NY 10016

© Center for Biomedical Imaging (CBI). All rights reserved.

This content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health, NYU Langone Health, or New York University.