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Contact Info

William H. Sanders
Department Head
ECE ILLINOIS
306 N. Wright Street
Urbana, IL 61801
Ph: (217) 333-2300
Fax: (217) 244-7075
whs@illinois.edu

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Brad Sutton

Electrical and Computer Engineering
Brad  Sutton
Brad Sutton
Associate Professor
  • Bioengineering
4157 Beckman Institute MC 251
405 N. Mathews
Urbana Illinois 61801
(217) 244-5154

Affiliation

  • Bioengineering

Education

Ph.D., Biomedical Engineering, University of Michigan, 2003

Biography

Dr. Sutton joined the Bioengineering Department at the University of Illinois in January, 2006. Dr. Sutton received a B.S. in General Engineering from the University of Illinois at Urbana-Champaign. He earned M.S.’s in Biomedical and Electrical Engineering and a PhD in Biomedical Engineering from the University of Michigan in 2003. He has affiliations with the Beckman Institute, Electrical and Computer Engineering Department, and the Department of Speech and Hearing Sciences. His research interests are in developing magnetic resonance imaging acquisition, image reconstruction, and systems modeling approaches to understand brain function.

For more information

Magnetic Resonance Functional Imaging Lab

Teaching Statement

The human body is a complex of non-linear, adaptive systems upon which our lives rest. My objective in teaching is to push students to apply and extend their engineering tools to model, describe, and predict behavior of human physiology while gaining an appreciation for the limits of such models.

Research Statement

My research is focused on developing novel methods to image structure and physiological function with magnetic resonance imaging. Application areas include functional neuroimaging and dynamic imaging of muscle function in speech.

Undergraduate Research Opportunities

During various disease states and even during healthy aging, the human brain undergoes dramatic changes in structural and functional organization, along with changes in metabolic support structures. Magnetic resonance imaging offers many windows into this changing physiology. Analysis of such changes requires applications of linear algebra and statistics upon very large data sets. Currently, there are positions for undergraduates to learn and apply structural analysis methodologies to disease populations such as multiple sclerosis.

Research Interests

  • Neuromuscular coupling
  • Image Reconstruction
  • Magnetic Susceptibility
  • Diffusion Weighted Imaging
  • Dynamic Imaging
  • Functional Magnetic Resonance Imaging

Research Areas