Projects

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

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

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

Neuroimaging Core of NYU Langone’s Alzheimer’s Disease Research Center

The neuroimaging core of NYU Langone’s Alzheimer Disease Research Center supports research on Alzheimer’s and related dementias by developing and applying advanced imaging techniques to aid early diagnosis, track disease progression, and inform novel diagnostics and treatments.

AGING   BRAIN

Neural Underpinning of Cognitive and Behavioral Deficits in Psychotic Spectrum Disorders

This research uses a multi-modal approach to reveal the neural mechanisms underlying psychotic spectrum disorders and to provide objective biomarkers for assessing disease progression and treatment efficacy.

BRAIN   DIFFUSION MRI
1 2 3 4 5 7