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

Cellular Viscosity as a Marker for Alzheimer’s Disease Pathology: A Combined Multiparametric MR Spectroscopy and PET Study

This project investigates intracellular viscosity as a potential early marker of neurodegeneration and Alzheimer’s disease by combining PET imaging, blood-based biomarkers, and an innovative technique called magnetic resonance spectroscopic fingerprinting (MRSF), using data from a well-characterized cohort at NYU’s Alzheimer’s Disease Research Center.

AGING   BRAIN

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

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

Unpacking the Importance of the Structural Injuries in Mild Traumatic Brain Injury

This project uses advanced diffusion MRI techniques and novel analysis methods to identify imaging biomarkers of brain changes and cognitive outcomes in patients with mild traumatic brain injury, aiming to improve diagnosis, prognosis, and treatment planning.

BRAIN   DIFFUSION MRI
1 2 3 4 5 6