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Home | Seminars and Symposia | Past seminars/symposia: Monday, August 25, 2014

DTC Seminar Series

High-speed Magnetic Resonance Imaging: A Signal Processing Perspective

by

Leslie Ying
Department of Electrical Engineering
Department of Biomedical Engineering
University at Buffalo

Monday, August 25, 2014
3:30 p.m. reception
4–5:30 p.m. seminar

401/402 Walter Library

Leslie Ying

Magnetic Resonance Imaging (MRI) has developed into a premier biomedical imaging modality by virtue of its ability to reveal the structure, metabolism, and function of internal tissues/organs of human or any biological objects. However, MRI is known to be slow in data acquisition, which limits its practical application where imaging speed is important, such as in cardiac imaging, dynamic contrast-enhanced cancer imaging, and functional neuroimaging. To address this issue of speed, we have focused on parallel imaging technique, a hardware breakthrough to acquired data using phased array coils, and compressed sensing theory, a mathematical breakthrough to reconstruct signals using very few measurements. Both have the potential to significantly speed up MRI by reducing the data need to be acquired. In this talk, I will first discuss the challenges in applying these breakthroughs to MRI from a signal processing perspective. I will then present some of the approaches developed in my lab to address these challenges. Results from in vivo MRI experiments will be shown to demonstrate the importance and promise of signal processing in speeding up MRI to meet the needs in clinical applications.

 

Leslie Ying received her B.E. in Electronics Engineering from Tsinghua University, China in 1997 and both her M.S. and Ph.D. in Electrical Engineering from the University of Illinois at Urbana — Champaign in 1999 and 2003, respectively. She was an Assistant and then Associate Professor of Electrical Engineering and Computer Science at the University of Wisconsin — Milwaukee (UWM) from 2003 to 2011. She joined the University at Buffalo in the Spring of 2012. Her research interests include magnetic resonance imaging, compressed sensing, and image reconstruction. She received a CAREER award from the National Science Foundation in 2009. She was also a recipient of the UWM Research Foundation and the Graduate School Research Award. She served as an Associate Editor of IEEE Transactions on Biomedical Engineering and is now a Deputy Editor of Magnetic Resonance in Medicine. She is serving on the Administrative Committee of IEEE Engineering in Medicine and Biology Society and the Steering Committee of IEEE Transactions on Medical Imaging.