Projects

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

Understanding CSF Clearance in Aging and Alzheimer’s Brain Through Dynamic Sodium MRI

This study uses advanced MRI techniques to investigate how sleep and aging affect cerebrospinal fluid clearance in healthy individuals and Alzheimer’s patients, aiming to understand the glymphatic system’s role in brain health and disease progression.

AGING   BRAIN   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

Improving the Efficacy of Ultra-Low-Field MRI Using AI

This project aims to develop AI methods to improve the image quality of ultra-low-field MRI to enhance the mobility, accessibility, and efficiency of MRI in clinical radiology and neuroscientific research.

AI   BRAIN

FireVoxel: Interactive Software for Multi-Modality Analysis of Dynamic Medical Images

FireVoxel is a freely distributed medical imaging analysis software developed at NYU Langone that provides powerful quantitative tools—especially for dynamic abdominal and genitourinary studies—and has become widely adopted in MRI research worldwide.

QUANTITATIVE MRI   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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