Projects

Breast cancer Intravoxel Incoherent Motion Multisite (BRIMM) Project

The BRIMM project is a multi-site breast cancer study using intravoxel incoherent motion (IVIM) MRI to develop a robust, cross-platform imaging biomarker that noninvasively characterizes the tumor microenvironment and predicts response to neoadjuvant chemotherapy.

BREAST   DIFFUSION 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

Genomic and Imaging Markers to Understand and Predict Progression of Joint Damage After Injury

This study combines genomic analysis and diffusion tensor imaging to identify predictive biomarkers for the risk of developing post-traumatic osteoarthritis (PTOA) following anterior cruciate ligament (ACL) injury in young adults, aiming to improve prevention and therapy development.

MSK

Multi-Scale and Multi-Modality Imaging of Neuropathology in VCID

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.

AGING   BRAIN

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
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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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