Yicun Wang, Ph.D.
Assistant Professor of Radiology
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Education:Ìý Ìý Ìý Ìý Ìý
Postdoc, NINDS/NIH, 2024
Ph.D., Biomedical Engineering (minor in Electrical Engineering), University of Minnesota, 2018
B.S., Biomedical Engineering, Zhejiang University, 2013
Research:
Yicun Wang, PhD. is a tenure-track Assistant Professor of Radiology at Stony Brook University. His research focuses on Magnetic Resonance Imaging (MRI) physics and the quantitative modeling of MRI signals to identify novel biomarkers in the human brain. Specifically, he develops innovative acquisition and modeling techniques to quantify brain myelination and iron concentration by integrating various MRI metrics, such as T1, T2, T2*, magnetic susceptibility, and magnetization transfer. The overarching goal of his work is to enhance our understanding of MRI-detectable tissue property changes in neuroinflammation and their role in Alzheimer’s disease. Additionally, he develops MRI methods for dynamic imaging of neurofluid movement and brain tissue displacement, as well as advanced modeling approaches to explore their physiological interplay in normal aging and hydrocephalus. The understanding gained from these research efforts is expected to lead to more effective treatments for these debilitating neurological disorders.
Selected Publications:
•ÌýÌýÌý JA de Zwart, P van Gelderen, Y Wang, JH. Duyn;ÌýAccelerated multi slice MRI with patterned excitation,ÌýMagn Reson Med 2024; 91: 252-265
•ÌýÌýÌý FN Yang, D Picchioni, JA de Zwart, Y Wang, P van Gelderen, JH Duyn;ÌýReproducible, data-driven characterization of sleep based on brain dynamics and transitions from whole-night fMRI; eLife 13:RP98739
•ÌýÌýÌý Y Wang, P van Gelderen, JA de Zwart, PS Özbay, H Mandelkow, D Picchioni, JH Duyn;ÌýCerebrovascular activity is a major factor in the cerebrospinal fluid flow dynamics.ÌýNeuroimage 2022 258:119362
•ÌýÌýÌý D Picchioni, PS Özbay, H Mandelkow, JA de Zwart, Y Wang, P van Gelderen, JH Duyn;ÌýAutonomic arousals contribute to brain fluid pulsations during sleep.ÌýNeuroimage 2022 249:118888
•ÌýÌýÌý Y Wang, P van Gelderen, JA de Zwart, AE Campbell-Washburn, JH Duyn;ÌýFMRI based on transition-band balanced SSFP in comparison with EPI on a high-performance 0.55 T scanner.ÌýMagn Reson Med 2021 85:3196-3210
•ÌýÌýÌý Y Chai, L Li, Y Wang, L Huber, BA Poser, J Duyn, PA Bandettini;ÌýMagnetization transfer weighted EPI facilitates cortical depth determination in native fMRI space.ÌýNeuroimage 2021 242:118455
•ÌýÌýÌý Y Wang, P van Gelderen, JA de Zwart, JH Duyn;ÌýB0-field dependence of MRI T1 relaxation in human brain.ÌýNeuroimage 2020 213:116700
•ÌýÌýÌý Y Wang, Q Shao, PF Van de Moortele, E Racila, J Liu, J Bischof, B He; nMapping electrical properties heterogeneity of tumor using boundary informed electrical properties tomography (BIEPT) at 7T.Ìý Magn Reson Med 2019 81:393-409
•ÌýÌýÌý Y Wang, PF Van De Moortele, B He;ÌýCONtrast Conformed Electrical Properties Tomography (CONCEPT) Based on Multi- Channel Transmission and Alternating Direction Method of Multipliers.ÌýIEEE Trans Med Imaging 2019 38:349-359
•ÌýÌýÌý Y Wang, PF Van de Moortele, B He;ÌýAutomated gradient-based electrical properties tomography in the human brain using 7Tesla MRI.ÌýMagn Reson Imaging 2019 63:258-266
•ÌýÌýÌý J Liu, Y Wang, U Katscher, B He;ÌýElectrical Properties Tomography Based on $B_{{1}}$ Maps in MRI: Principles, Applications, and Challenges.ÌýIEEE Trans Biomed Eng 2017 64:2515-2530
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