Projects

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

Prediction Models of Knee Osteoarthritis Incidence and Progression using Deep Learning

This project develops and validates deep-learning models that analyze clinical and imaging data to predict individuals' five-year risk of knee osteoarthritis progression and total knee replacement, aiming to enable early intervention and personalized treatment.

AI   MSK

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

GRASP MRI

This project focuses on the ongoing development and clinical translation of GRASP MRI—a fast, motion-robust dynamic imaging method combining golden-angle radial sampling, compressed sensing, and parallel imaging—which has been widely adopted in clinical practice, expanded into advanced variants, and increasingly applied in both diagnostic and therapeutic settings.

BRAIN   RAPID MRI

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 5 6 7