- Ph.D., Biomedical Engineering, University of Michigan, 2003
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.
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.
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.
- Neuromuscular coupling
- Image Reconstruction
- Magnetic Susceptibility
- Diffusion Weighted Imaging
- Dynamic Imaging
- Functional Magnetic Resonance Imaging
- Biomedical Imaging, Bioengineering, and Acoustics
- Biosensors and bioelectronics
- Bioelectronics and Bioinformatics
- Computational science and engineering
- Data/Information Science and Systems
- Healthcare and medical technologies
- Imaging science and systems
- Medical imaging
- BIOE 302 - Modeling Human Physiology
- BIOE 398 - Quantitative Human Sys Physiol
- BIOE 420 - Intro Bio Control Systems
- BIOE 497 - Individual Study
- BIOE 572 - Biological Measurement II