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Yulin Ge

Yulin Ge, MD

Professor, Department of Radiology

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.


Academic office

660 First Avenue

Fourth Floor

New York, NY 10016

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MD from Shandong University

Fellowship, Kumamoto University, Radiology

Residency, Beijing Tiantan Hospital, Radiology

University of Pennsylvania School of Medicine, Neuroradiology

Li, Chenyang; Buch, Sagar; Sun, Zhe; Muccio, Marco; Jiang, Li; Chen, Yongsheng; Haacke, E Mark; Zhang, Jiangyang; Wisniewski, Thomas M; Ge, Yulin

NeuroImage. 2024 Mar 28; 120597

Fan, Hongli; Bunker, Lisa; Wang, Zihan; Durfee, Alexandra Zezinka; Lin, Doris; Yedavalli, Vivek; Ge, Yulin; Zhou, Xiaohong Joe; Hillis, Argye E; Lu, Hanzhang

Magnetic resonance in medicine. 2024 Feb; 91(2):558-569

Sun, Zhe; Li, Chenyang; Wisniewski, Thomas W; Haacke, E Mark; Ge, Yulin

Aging & disease. 2023 Dec 06;

Bae, Jonghyun; Li, Chenyang; Masurkar, Arjun; Ge, Yulin; Kim, Sungheon Gene

Neuroimage. 2023 Sep; 278:120284

Zhou, Tony D; Zhang, Zongpai; Balachandrasekaran, Arvind; Raji, Cyrus A; Becker, James T; Kuller, Lewis H; Ge, Yulin; Lopez, Oscar L; Dai, Weiying; Gach, H Michael

Aging & disease. 2023 May 09;

Li, Chenyang; Fieremans, Els; Novikov, Dmitry S; Ge, Yulin; Zhang, Jiangyang

Magnetic resonance in medicine. 2023 Apr; 89(4):1441-1455

Menon, Rajiv G; Sharafi, Azadeh; Muccio, Marco; Smith, Tyler; Kister, Ilya; Ge, Yulin; Regatte, Ravinder R

Research square. 2023 Mar 24;

Bae, Jonghyun; Ge, Yulin; Kim, Sungheon Gene

Alzheimer's & dementia. 2022 Dec 01; 18(<prism:issueIdentifier>S1):?-?