ECE Spring Seminar Series

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Speaker, Bo Zhao, Harvard University


Powering Next-Generation MRI with Physics and Information Processing: An Integrated Encoding and Decoding Approach



Magnetic resonance imaging (MRI) is a powerful and versatile imaging technology, which has provided unprecedented capabilities to probe the structural, functional, and metabolic information of the living systems. However, current MRI techniques have not fully exploited their potentials due to the inherent trade-off between the resolution, signal-to-noise ratio, and imaging speed. In particular, this trade-off has rendered significant challenges for high-dimensional MRI, in which the curse-of-dimensionality phenomenon is inherent.

Traditionally, these challenges have been addressed from either the encoding or decoding side of MRI using spin physics or signal processing techniques. In this talk, I will present a novel computational imaging framework, featuring an integrated encoding and decoding paradigm. I will describe two integrated encoding and decoding designs using advanced models and algorithms from statistical inference and learning. I will illustrate their effectiveness and impacts with application examples from cardiovascular imaging and quantitative neuroimaging.



Bo Zhao is a postdoctoral fellow at the Martinos Center for Biomedical Imaging of Harvard Medical School. Dr. Zhao received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. His research lies in the general area of computational imaging and medical imaging, with emphasis on the modality of magnetic resonance imaging (MRI). He has focused on developing advanced mathematical models, computational algorithms, and data acquisition schemes to push the limits of MR imaging systems. His research has been recognized by several prestigious awards, including an NIH Pathway to Independence Award (K99/R00) and an NIH Ruth L. Kirschstein National Research Service Award Postdoctoral Fellowship. Dr. Zhao is an Associate Member of the Bioimaging and Signal Processing Technical Committee in the IEEE Signal Processing Society.

Monday, February 25, 2019 at 11:15am to 12:05pm

Evans Hall, Room 204
Evans Hall, University of Delaware, Newark, DE 19716, USA

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Students, Academics, Faculty & Staff, College of Engineering, Community, Lectures and Programs



Electrical and Computer Engineering



ENGR - Electrical & Computer Engineering
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Amber Spivey

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