
FAN Qiuyun
Title/Position:Professor
Research Areas:MRI, Diffusion MRI, Microstructural Imaging, Neuroimaging, Cognitive Neuroscience, Brain Network, and Human Connectome
Email:fanqiuyun@tju.edu.cn
Brief Introduction:
Qiuyun Fan, Ph.D., Professor, Doctoral Advisor, Assistant Dean at the School of Medicine, Tianjin University, and Chief Scientist of the National Key Research and Development Program of China. Dr. Fan holds a bachelor’s degree from Zhejiang University and a Ph.D. from Vanderbilt University, and was previously an Instructor at Harvard Medical School. Her research focuses on development of diffusion magnetic resonance imaging (dMRI) techniques to advance the understanding of human brain connectome mapping, brain network dynamics, cognitive functions, and early diagnosis of neurological disorders. She was elected Junior Fellow of the International Society for Magnetic Resonance in Medicine (ISMRM), awardee of the Young Investigator Award from the Overseas Chinese Society for Magnetic Resonance in Medicine (OCSMRM), and recipient of the Chinese National-Level Young Talent Award.
Selected Publications:
1. Wichtmann, B.D.#, Fan, Q.#, Eskandarian, L., Witzel, T., Attenberger, U.I., Pieper, C.C., Schad, L., Rosen, B.R., Wald, L.L., Huang, S.Y., Nummenmaa, A., 2023. Linear multi-scale modeling of diffusion MRI data: A framework for characterization of oriented structures across length scales. Human Brain Mapping 44, 1496-1514.
2. Li, Z., Fan, Q., Bilgic, B., Wang, G., Wu, W., Polimeni, J.R., Miller, K.L., Huang, S.Y., Tian, Q., 2023. Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat). Medical Image Analysis 86, 102744.
3. Fan, Q., Eichner, C., Afzali, M., Mueller, L., Tax, C.M.W., Davids, M., Mahmutovic, M., Keil, B., Bilgic, B., Setsompop, K., Lee, H.-H., Tian, Q., Maffei, C., Ramos-Llordén, G., Nummenmaa, A., Witzel, T., Yendiki, A., Song, Y.-Q., Huang, C.-C., Lin, C.-P., Weiskopf, N., Anwander, A., Jones, D.K., Rosen, B.R., Wald, L.L., Huang, S.Y., 2022. Mapping the Human Connectome using Diffusion MRI at 300 mT/m Gradient Strength: Methodological Advances and Scientific Impact. NeuroImage, 2022; 118958. (Invited Review)
4. Fan, Q., Polackal, M.N., Tian, Q., Ngamsombat, C., Nummenmaa, A., Witzel, T., Klawiter, E.C., Huang, S.Y. Scan-rescan repeatability of axonal imaging metrics using high-gradient diffusion MRI and statistical implications for study design. Neuroimage 2021;240:118323.
5. Fan, Q., Nummenmaa, A., Witzel, T., Ohringer, N., Tian, Q., Setsompop, K., Klawiter, E.C., Rosen, B.R., Wald, L.L., Huang, S.Y. Axon diameter index estimation independent of fiber orientation distribution using high-gradient diffusion MRI. NeuroImage 2020;222:117197.
6. Fan, Q., Tian, Q., Ohringer, N.A., Nummenmaa, A., Witzel, T., Tobyne, S.M., Klawiter, E.C., Mekkaoui, C., Rosen, B.R., Wald, L.L., Salat, D.H., Huang, S.Y. Age-related alterations in axonal microstructure in the corpus callosum measured by high-gradient diffusion MRI. Neuroimage 2019;191:325-336.
7. Fan, Q., Nummenmaa, A., Wichtmann, B., Witzel, T., Mekkaoui, C., Schneider, W., Wald, L.L., Huang, S.Y. Validation of diffusion MRI estimates of compartment size and volume fraction in a biomimetic brain phantom using a human MRI scanner with 300 mT/m maximum gradient strength. Neuroimage 2018;182:469-478.
8. Setsompop, K., Fan, Q., Stockmann, J., Bilgic, B., Huang, S., Cauley, S.F., Nummenmaa, A., Wang, F., Rathi, Y., Witzel, T., Wald, L.L. High-resolution in vivo diffusion imaging of the human brain with generalized slice dithered enhanced resolution: Simultaneous multislice (gSlider-SMS). Magn Reson Med 2018;79(1):141-151.
9. Fan, Q., Nummenmaa, A., Polimeni, J.R., Witzel, T., Huang, S.Y., Wedeen, V.J., Rosen, B.R., Wald, L.L. HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging. NeuroImage 2017;150:162-176.
10. Granberg, T., Fan, Q., Treaba, C.A., Ouellette, R., Herranz, E., Mangeat, G., Louapre, C., Cohen-Adad, J., Klawiter, E.C., Sloane, J.A., Mainero, C. In vivo characterization of cortical and white matter neuroaxonal pathology in early multiple sclerosis. Brain 2017;140(11):2912-2926.
11. Fan, Q., Witzel, T., Nummenmaa, A., Van Dijk, K.R.A., Van Horn, J.D., Drews, M.K., Somerville, L.H., Sheridan, M.A., Santillana, R.M., Snyder, J., Hedden, T., Shaw, E.E., Hollinshead, M.O., Renvall, V., Zanzonico, R., Keil, B., Cauley, S., Polimeni, J.R., Tisdall, D., Buckner, R.L., Wedeen, V.J., Wald, L.L., Toga, A.W., Rosen, B.R. MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI. Neuroimage 2016;124(Pt B):1108-1114.
12. Fan, Q., Anderson, A.W., Davis, N., Cutting, L.E. Structural connectivity patterns associated with the putative visual word form area and children's reading ability. Brain Res 2014;1586:118-129.
13. Fan, Q., Nummenmaa, A., Witzel, T., Zanzonico, R., Keil, B., Cauley, S., Polimeni, J.R., Tisdall, D., Van Dijk, K.R., Buckner, R.L., Wedeen, V.J., Rosen, B.R., Wald, L.L. Investigating the capability to resolve complex white matter structures with high b-value diffusion magnetic resonance imaging on the MGH-USC Connectom scanner. Brain Connect 2014;4(9):718-726.
14. Fan, Q., Davis, N., Anderson, A.W., Cutting, L.E. Thalamo-cortical connectivity: what can diffusion tractography tell us about reading difficulties in children? Brain Connect 2014;4(6):428-439.
Grants:
1. National Key Research and Development Program of China: Key Technologies of in vivo examinations of brain structure and function, Principal Investigator, 2023.11-2026.10.
2. National Natural Science Foundation of China: Accelerating HIBRID MRI using deep learning for microstructural imaging in acute ischemic stroke, Principal Investigator, 2021.01-2024.12.
3. American Heart Association Postdoc Fellowship Funding: TractCaliber MRI for Characterizing Axonal Damage in Ischemic Stroke, Principal Investigator, 2017.07-2019.06.
4. Massachusetts General Hospital, ECOR Intramural Funding: HIBRID MRI for Characterizing Focal Cortical Dysplasia in Epilepsy, Principal Investigator, 2016.01-2016.12.
5. Vanderbilt Office of Research and CTSA, VICTR Intramural Funding: A study of resting state functional connectivity in adults, Principal Investigator, 2011.10-2012.04.
6. BRAIN Initiative: Connectome 2.0: Developing the next generation human MRI scanner for bridging studies of the micro-, meso- and macro-connectome, Key Personnel, 2019.07-2020.11.
7. National Institute of Health, Blueprint Initiative for Neuroscience Research Grant: The Human Connectome Project, Key Personnel, 2013.10-2015.12.
Honors & Awards:
2020 National Outstanding Young Talents Award
2019 MGH OWC Scholarly Writing Award
2018 ISMRM Junior Fellow
2018 OCSMRM Young Investigator Award (1st Place)
2017 American Heart Association Fellowship
2016 MGH ECOR Fund for Medical Discovery
2016 ISMRM Merit Award: Magna cum laude
2015 Martinos Pilot Funding Award for Neuroimaging
2015 ISMRM Merit Award: Summa cum laude
Patents:
Fan, Qiuyun, Susie Yi Huang, Qiyuan Tian, and Chanon Ngamsombat. "Estimating diffusion metrics from diffusion-weighted magnetic resonance images using optimized kq space sampling and deep learning." U.S. Patent 12,044,762, issued July 23, 2024.