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

For more information

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 Neuroscience Program. His research interests are in developing magnetic resonance imaging acquisition, image reconstruction, and systems modeling approaches to understand brain function.

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

Research Topics

Selected Articles in Journals

Articles in Conference Proceedings

  • Xing F, Jin R, Gilbert I, Liu X, El Fakhri G, Perry J, Sutton B, Woo J. Temporal Frame Alignment for Speech Atlas Construction Using High Speed Dynamic MRI. Proc Intl Soc Magn Reson Med, 2021. p. 3742
  • Jin R, Liang ZP, Sutton B. Increasing three-dimensional coverage of dynamic speech magnetic resonance imaging. Proc Intl Soc Magn Reson Med, 2021. p. 4175.
  • Lin S, Sutton B, Magin R, Anderson A, Klatt D. Development of in vivo human brain DTI-MRE: Optimization of experimental parameters. Proc Intl Soc Magn Reson Med, 2021. p. 3656.
  • Anderson A, Muralidaran S, Cerjanic A, Sutton B, Anastasio M, Brooks F. Deep Learning Automation for Human Brain Masking of Multi-Band MR Elastography. Proc Intl Soc Magn Reson Med, 2021. p. 1024.
  • Jung KJ, Sutton BP. Three-Dimensional Sodium MRI Using A Rotation of Spiral Disc (RSD) Trajectory. Proc Intl Soc Magn Reson Med, 2021. p. 1813
  • Camacho P, Anderson E, Anderson A, Schwarb H, Wszalek T, Sutton B. Automating Reproducible Connectivity Processing Pipelines on High Performance Computing Machines. Proc Intl Soc Magn Reson Med, 2021. p. 3766.
  • Jin R, Peng X, Sutton B. Shortening total acquisition times for high speed dynamic speech magnetic resonance imaging using temporally sparse navigation. 12th international seminar on speech production (ISSP), Yale, December 2020. https://issp2020.yale.edu/S05/riwei_05_04_025_abstract.pdf
  • Sutton B, Ramsy N, Jin R, Webb A. Using dielectric bags to increase SNR in dynamic speech imaging. Proc. Intl Soc Magn Reson Med, 2020. p. 3711.
  • Zhang M, Aw N, Doose M, Arnold P, Huston J, Olivero W. Sutton B. Measuring CSF shunt flow with MRI using flow enhancement of signal intensity (Shunt-FENSI). Proc. Intl Soc Magn Reson Med, 2020. p. 4699.
  • Guo R, Li Y, Zhao Y, Wang T, Li Y, Sutton B. Liang ZP. High-resolution QSM for simultaneous QSM/MRSI. Proc. Intl Soc Magn Reson Med, 2020. p. 0159.
  • Lin S, Sutton B, Magin R, Klatt D. Development of in vivo human brain DTI-MRE. Proc. Intl Soc. Magn Reson Med, 2020. p. 3325.
  • Meng Z, Li Y, Guo R, Zhao Y, Wang T, Yu F, Sutton B, Li Y, Liang ZP. Accelerated T2 Mapping by Integrating Two-Stage Learning with Sparse Modeling. Proc. Intl Soc. Magn. Reson Med, 2020. p.889.
  • Aw N, Cerjanic A, Mitchell J, Gillette M, Sutton B. Diffusion imaging of rat brain slices on a human clinical MRI scanner. Proc. Intl Soc Magn Reson Med, 2019. p. 3338.
  • Peng X and Sutton B. Navigated steady-state free precession with water-excitation for real-time cardiac imaging at 3 tesla. Proc. Intl Soc Magn Reson Med, 2019, p. 2442.
  • Lam F and Sutton B. Efficient Intravoxel B0 Inhomogeneity Corrected Reconstruction of Multi-Gradient-Echo Images Using A Low-Rank Encoding Operator. Proc. Intl Soc Magn Reson Med, 2019, p. 1257.

Invited Lectures

  • Shake, Rattle and Jellyroll: Measuring mechanical properties of the hippocampus with magnetic resonance elastography

Service to Federal and State Government

  • NIH ad hoc review panels, 2018-2021.

Courses Taught

  • BIOE 302 - Modeling Human Physiology
  • BIOE 398 - Quantitative Human Sys Physiol
  • BIOE 420 - Intro Bio Control Systems
  • BIOE 497 - Individual Study