Department of Electronic and Computer Engineering Seminar - Deep Learning at the Ultrasound Imaging Front-End
 

11:00am - 12:00pm
Rm 1410, 1/F (Lift 25 26), Academic Building, HKUST

Ultrasound is undoubtedly a popular medical imaging modality and is becoming known for its high-frame-rate imaging capabilities. However, high-frame-rate ultrasound has yet to flourish in point-of-care applications due to the lack of suitable portable hardware, and its ability to offer time-resolved flow visualization is hampered by Doppler aliasing artifacts. Can we take advantage of deep learning to overcome bottlenecks in high-frame-rate system design? Can we design neural networks to resolve Doppler aliasing artifacts in real time? This seminar will introduce our laboratory’s quest to learn deep and learn smart about ultrasound imaging systems to make high-frame-rate ultrasound viable for portable use and flow estimation. We will demonstrate how deep learning solutions can be devised to resolve data transfer bottlenecks in ultrasound systems and, in turn, enable robust generation of high-frame-rate ultrasound images with data acquired from few array channels. We will also show how deep learning has enabled the design of advanced Doppler flow imaging platforms with lucid flow visualization performance. Related algorithms, real-time engineering efforts, and clinical applications will be presented throughout the presentation.

Event Format
Speakers / Performers:
Prof. Alfred Yu
Assistant Vice-President (Research and International) and Professor of Biomedical Engineering, University of Waterloo, Canada

Alfred Yu is Assistant Vice-President (Research and International) and Professor of Biomedical Engineering at the University of Waterloo, Canada. He leads the University of Waterloo’s research partnership portfolio and interdisciplinary research files, and he is the Director of the NSERC Collaborative Research Program on "Next-Generation Innovations in Ultrasonics" in Canada. Alfred has a long-standing research interest in ultrasound imaging and therapeutics. He is a Fellow of IEEE, American Institute of Ultrasound in Medicine, Canadian Academy of Engineering, and Engineering Institute of Canada. His research has been endorsed by many milestone prizes, including the NSERC Steacie Memorial Fellowship, the ISTU Frederic Lizzi Award, the IEEE Ultrasonics Early Career Investigator Award, the Ontario Early Researcher Award, and various best paper awards. He is now the Editor-in-Chief of the IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, the Program Chair of 2023 and 2025 IEEE Ultrasonics Symposium, and the Vice-Chair of the AIUM Basic Science and Instrumentation Group.

Language
English
Recommended For
Alumni
Faculty and staff
PG students
Organizer
Department of Electronic & Computer Engineering
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