Yicun Wang, Ph.D.
Assistant Professor of Radiology
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Education:
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:
• JA de Zwart, P van Gelderen, Y Wang, JH. Duyn; Accelerated multi slice MRI with patterned excitation, Magn Reson Med 2024; 91: 252-265
• FN Yang, D Picchioni, JA de Zwart, Y Wang, P van Gelderen, JH Duyn; Reproducible, data-driven characterization of sleep based on brain dynamics and transitions from whole-night fMRI; eLife 13:RP98739
• Y Wang, P van Gelderen, JA de Zwart, PS Özbay, H Mandelkow, D Picchioni, JH Duyn; Cerebrovascular activity is a major factor in the cerebrospinal fluid flow dynamics. Neuroimage 2022 258:119362
• D Picchioni, PS Özbay, H Mandelkow, JA de Zwart, Y Wang, P van Gelderen, JH Duyn; Autonomic arousals contribute to brain fluid pulsations during sleep. Neuroimage 2022 249:118888
• Y Wang, P van Gelderen, JA de Zwart, AE Campbell-Washburn, JH Duyn; FMRI based on transition-band balanced SSFP in comparison with EPI on a high-performance 0.55 T scanner. Magn Reson Med 2021 85:3196-3210
• Y Chai, L Li, Y Wang, L Huber, BA Poser, J Duyn, PA Bandettini; Magnetization transfer weighted EPI facilitates cortical depth determination in native fMRI space. Neuroimage 2021 242:118455
• Y Wang, P van Gelderen, JA de Zwart, JH Duyn; B0-field dependence of MRI T1 relaxation in human brain. Neuroimage 2020 213:116700
• 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. Magn Reson Med 2019 81:393-409
• Y Wang, PF Van De Moortele, B He; CONtrast Conformed Electrical Properties Tomography (CONCEPT) Based on Multi- Channel Transmission and Alternating Direction Method of Multipliers. IEEE Trans Med Imaging 2019 38:349-359
• Y Wang, PF Van de Moortele, B He; Automated gradient-based electrical properties tomography in the human brain using 7Tesla MRI. Magn Reson Imaging 2019 63:258-266
• J Liu, Y Wang, U Katscher, B He; Electrical Properties Tomography Based on $B_{{1}}$ Maps in MRI: Principles, Applications, and Challenges. IEEE Trans Biomed Eng 2017 64:2515-2530
