Brad Sutton
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Education
- Ph.D., Biomedical Engineering, University of Michigan, 2003
Biography
Brad Sutton Brad Sutton, PhD, is a Professor of Bioengineering at the University of Illinois Urbana Champaign and Technical Director of the Biomedical Imaging Center at Beckman Institute. He is an affiliate faculty in the Neuroscience Program, Department of Electrical and Computer Engineering, a Health Innovation Professor with the Carle Illinois College of Medicine, a fellow with the National Center for Supercomputing Applications, and an investigator at the CZ Biohub Chicago. He has over 20 years experience as a magnetic resonance imaging physicist, designing acquisition and image reconstruction techniques for functional and structural magnetic resonance imaging in humans and animals. His research is focused on making careful measures of physiological variations (structure, function, blood flow, stiffness) in the brain across interventions, age, nutrition, development, and disease. He has over 180 peer-reviewed journal papers and 9 patents in the development of novel imaging techniques. He is a fellow of the American Institute for Medical and Biological Engineering (AIMBE) and a fellow of the International Society of Magnetic Resonance in Medicine (ISMRM).
Academic Positions
- Health Innovation Professor, Carle Illinois College of Medicine, 8/2022 - 7/2027
- Professor, Bioengineering Department, University of Illinois at Urbana-Champaign, 8/2017-present
- Abel Bliss Scholar, College of Engineering, UIUC 2014-
Research Interests
- Neuromuscular coupling
- Image Reconstruction
- Magnetic Susceptibility
- Diffusion Weighted Imaging
- Dynamic Imaging
- Functional Magnetic Resonance Imaging
Research Areas
- Biomedical imaging
- Biomedical Imaging, Bioengineering, and Acoustics
- Biosensors and bioelectronics
- Diffusion weighted imaging
- Dynamic imaging
- Functional MRI
- Image reconstruction
- Instrumentation
- Magnetic susceptibility
- MRI
- Neural engineering (general)
- Neuromuscular coupling
- Systems modeling approaches to understand brain function
Research Topics
- Bioelectronics and Bioinformatics
- Bioimaging at Multi-Scale
- Computational science and engineering
- Data/Information Science and Systems
- Healthcare and medical technologies
- Imaging science and systems
- Medical imaging
- Neural Engineering
- Neuro-engineering
Selected Articles in Journals
- Wang Z, Sutton BP, Lam F. High-resolution, volumetric diffusion-weighted MR spectroscopic imaging of the brain. Magn Reson Med. 2025.
- Chai Y, Li L, Stirnberg R, Huber L, Stöcker T, Bandettini PA, Sutton BP. Blood nulling versus tissue suppression: Enhancing integrated VASO and perfusion (VAPER) contrast for laminar fMRI. Imaging Neuroscience. 2025;3:imag_a_00453.
- Olvera-Rojas M, Sewell KR, Karikari TK, Huang H, Oberlin LE, Zeng X, Morris JK, Collins AM, Drake JA, Sutton BP, Kramer AF, Hillman CH, Vidoni ED, Burns JM, Kamboh MI, McAuley E, Marsland AL, Chen Y, Lafferty TK, Sehrawat A, Jakicic JM, Wan L, Kang C, Erickson KI. Influence of medical conditions on the diagnostic accuracy of plasma p-tau217 and p-tau217/Abeta42. Alzheimers Dement. 2025;21(2):e14430. PMCID: PMC11848339.
- Bramlet M, Mohamadi S, Srinivas J, Dassanayaka T, Okammor T, Shadden M, Sutton BP. Automating aortic cross-sectional measurement of 3D aorta models. J Med Imaging (Bellingham). 2024;11(3):034503. PMCID: PMC11135202.
- Chai Y, Morgan AT, Handwerker DA, Li L, Huber L, Sutton BP, Bandettini PA. Improving laminar fMRI specificity by reducing macrovascular bias revealed by respiration effects. Imaging Neuroscience. 2024;2:1-16.
- Jain S, Lesnovskaya A, Wan L, Molinaâ€Hidalgo C, Huang H, Marsland A, Grove G, Oberlin L, Kang C, Kramer A, Hillman C, McAuley E, Burns JM, Vidoni ED, Sutton B, Erickson KI. Relation Between Markers of Systemic Inflammation, White Matter Lesions, and Cognitive Performance in Late Adulthood. Alzheimer's & Dementia. 2025;20(S2).
- Evans JL, Bramlet MT, Davey C, Bethke E, Anderson AT, Huesmann G, Varatharajah Y, Maldonado A, Amos JR, Sutton BP. SEEG4D: a tool for 4D visualization of stereoelectroencephalography data. Front Neuroinform. 2024;18:1465231. PMCID: PMC11405301.
- Lauinger AR, McNicholas M, Bramlet M, Bederson M, Sutton BP, Cao CGL, Ahmad IS, Brown C, Jamison S, Adve S, Vozenilek J, Rehg J, Cohen MS. Applications of mixed reality with medical imaging for training and clinical practice. J Med Imaging (Bellingham). 2024;11(6):062608. PMCID: PMC11669596.
Professional Societies
- AIMBE Fellow since 2017
- IEEE, member since 2001.
- International Society of Magnetic Resonance in Medicine, member since 1999. Named a Fellow 2024
Service on Campus Committees
- University Scholar Selection Committee, 2024, 2025.
Recent Courses Taught
- BIOE 302 - Modeling Human Physiology
- BIOE 420 - Intro Bio Control Systems
- BIOE 572 - Biological Measurement II