Faculty

Contact Information

Yulin Ge, MD

Professor
Magnetic resonance imaging (MRI) provides a highly efficacious means for observing brain anatomy, locating and identifying brain abnormalities, and making diagnosis of brain disorders. Recent advances in state-of-the-art high-field human MR systems have provided ever-advancing imaging capabilities for both clinical diagnosis and basic science research. Research interests are directed toward developing and applying the quantitative measures at high field MRI in various brain diseases including multiple sclerosis (MS), traumatic brain injury (TBI), brain tumors, and other neurodegenerative diseases. The implementation of these advanced MRI techniques in these diseases has greatly improved our understanding of the dynamics of disease evolution, clinicoradiological correlation, and efficacy of experimental treatments. These advanced techniques include:
  1. Volumetric and histographical analysis: objective assessment of lesion load, tissue atrophy, and disease activity.
  2. Diffusion tensor imaging (DTI) and fiber tractography (Fig 1): measuring the diffusion characteristics of tissue water can provide information about white matter integrity, connectivity, and pathological substrate of brain lesions.
  3. Susceptibility weighted imaging (Fig 2): a 3D high resolution imaging (SWI) that provides high quality of MR venography and susceptibility sensitive technique especially at higher field-strength MR.
  4. MR perfusion and functional MR imaging: mapping cerebral blood flow and volume in tissues to evaluate the critical components of blood supply and hemodynamic conditions in the brain. With event-associated fMRI and resting-state fMRI, brain activity related to a specific task or sensory process as well as functional network can be imaged.
It is believed that at higher field strengths of MR such as 7 Tesla, new areas of research are opening up in microscopic and molecular imaging, biomedical imaging, and functional brain imaging and these ultra-high-field systems will evolve into a new standard for clinical care and scientific discovery.

Research 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

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

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

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