Brad Sutton

Brad Sutton
Brad Sutton
  • Professor
(217) 244-5154
1215C Beckman Institute

For More Information

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

Selected Articles in Journals

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