Brad Sutton

Professor
Biomedical and Translational Sciences

(217) 244-5154

bsutton@illinois.edu

1215C Beckman Institute

For More Information

Magnetic Resonance Functional Imaging Lab

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.

Academic Positions

Health Innovation Professor, Carle Illinois College of Medicine, 8/2022 - 7/2027
Affiliate, National Center for Supercomputing Applications (NCSA), 8/2022-present

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

Selected Articles in Journals

Articles in Conference Proceedings

Duncan, C., Roxas, F., Jani, N., Maksimovic, J., Bramlet, M., Sutton, B. & Koyejo, S., Some New Tricks for Deep Glioma Segmentation. 2021, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 320-330 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12659 LNCS).
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.

Service to Federal and State Government

NIH ad hoc review panels, 2018-2021.

Recent Courses Taught

BIOE 302 - Modeling Human Physiology
BIOE 420 - Intro Bio Control Systems
BIOE 497 BS (BIOE 497 BS2) - Individual Study
BIOE 572 - Biological Measurement II