Accelerating Phase-Contrast Cardiac Magnetic Resonance Imaging: A Case Study in Computational Imaging

ECE Seminar: Accelerating Phase-Contrast Cardiac Magnetic Resonance Imaging: A Case Study in Computational Imaging

Starts at: March 19, 2015 4:30 PM

Ends at: 6:00 PM

Location: Scaife 125

Speaker: Dr. Lee Potter

Affiliation: Ohio State University

Refreshments provided: Yes

Link to Poster

Link to Video (1)


Phase-contrast magnetic resonance imaging (PC-MRI) is a noninvasive tool to assess cardio-vascular disease by quantifying blood flow; however, long acquisition times presently limit the spatial and temporal resolutions, real-time imaging, and extensions to 4D flow imaging in clinical settings. We propose a novel technique for accelerated PC-MRI. The technique is based on Bayesian inference yet admits fast computation via an approximate message passing algorithm. The Bayesian formulation allows us to model and exploit the statistical relationships across space, time, and encodings in order to achieve reproducible estimation of flow from highly under-sampled data. The imaging approach combines physical modeling, experiment design, and principled, yet tractable, computation. In vivo prospectively down-sampled results are presented from five healthy volunteers imaged using a 1.5T Siemens scanner. We conclude with discussion of the proposed approach as an embodiment of generic principles for computational imaging, with a specific example from radar imaging.

Lee C. Potter received the B.E. degree from Vanderbilt University, Nashville, TN, and the M.S. and Ph.D. degrees from the University of Illinois at Urbana-Champaign, all in electrical engineering.
Since 1991, he has been with the Department of Electrical and Computer Engineering, The Ohio State University, Columbus, where he is also an investigator at the Davis Heart and Lung Research Institute. His research interests include statistical signal processing, inverse problems, detection, and estimation, with applications in radar and medical imaging.
Dr. Potter is a recipient of the OSU College of Engineering MacQuigg Award for Outstanding Teaching.