Presented By: Biomedical Engineering
Biomedical Engineering Seminar Series
"Breaking the Sound Barrier” with Ultrafast Ultrasound: Cutting-edge Technologies, In Vivo Applications, and Beyond, with Pengfei Song, Ph.D.
Abstract:
Over the past two decades, ultrafast ultrasound has rapidly transformed the landscape of diagnostic and preclinical ultrasound imaging. Owing to the ultra-high imaging speed ranging from 1,000 to 10,000 frames per second, ultrafast ultrasound enables the visualization and measurement of many fast and transient physiological phenomena that are intricately linked to the structural and functional properties of biological tissues. In this presentation, I will introduce the principles of ultrafast ultrasound and our recent advancements across various domains such as shear wave elastography, ultrafast Doppler imaging, super-resolution microvascular imaging, functional brain imaging, deep learning, and ultrafast 3D imaging. In addition to the technical development, I will also present preclinical and clinical applications of ultrafast ultrasound in the areas of early detection and characterization of cancer and Alzheimer’s Disease.
Bio:
Pengfei Song, Ph.D. is a Y. T. Lo Faculty Fellow and Assistant Professor of the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC). Dr. Song is also an affiliate faculty member with the Beckman Institute for Advanced Science and Technology, Department of Bioengineering, Neuroscience Program, Cancer Center at Illinois, Carl R. Woese Institute for Genomic Biology, and Carle Illinois College of Medicine at UIUC.
Before joining Illinois as a tenure-track assistant professor in 2019, Dr. Song obtained his Ph.D. degree in 2014 and conducted his postdoctoral training under the supervision of Drs. James Greenleaf and Shigao Chen at Mayo Clinic until 2018. His research interests include ultrafast ultrasound imaging, super-resolution ultrasound, functional ultrasound, 3D ultrasound imaging, deep learning, and ultrasound shear wave elastography. Dr. Song has published over 85 peer-reviewed journal papers with a Google Scholar total citation exceeding 4900 and an h-index of 38. He holds several patents that have been licensed and commercialized by major ultrasound companies and used worldwide in the clinic.
Dr. Song has delivered over 20 invited presentations including twice at the Gordon Research Conference. He has been regularly selected to the List of Teachers Ranked as Excellent by Their Students for his teaching career at UIUC.
Dr. Song is a recipient of the NIH K99/R00 Pathway to Independence Award, the NSF CAREER Award, the NIBIB Trailblazer Award, the IEEE Ultrasonics Early Career Investigator Award, and the Chan Zuckerberg Initiative (CZ) Early Career Acceleration Award. His research program has been continuously funded by NIH, DOD CDMRP, and NSF. He is an elected Fellow of the American Institute of Ultrasound in Medicine (AIUM), a Senior Member of the National Academy of Inventors (NAI), a Senior Member of IEEE, and a Full Member of the Acoustical Society of America (ASA).
Zoom:
https://umich.zoom.us/j/94801149707
Over the past two decades, ultrafast ultrasound has rapidly transformed the landscape of diagnostic and preclinical ultrasound imaging. Owing to the ultra-high imaging speed ranging from 1,000 to 10,000 frames per second, ultrafast ultrasound enables the visualization and measurement of many fast and transient physiological phenomena that are intricately linked to the structural and functional properties of biological tissues. In this presentation, I will introduce the principles of ultrafast ultrasound and our recent advancements across various domains such as shear wave elastography, ultrafast Doppler imaging, super-resolution microvascular imaging, functional brain imaging, deep learning, and ultrafast 3D imaging. In addition to the technical development, I will also present preclinical and clinical applications of ultrafast ultrasound in the areas of early detection and characterization of cancer and Alzheimer’s Disease.
Bio:
Pengfei Song, Ph.D. is a Y. T. Lo Faculty Fellow and Assistant Professor of the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC). Dr. Song is also an affiliate faculty member with the Beckman Institute for Advanced Science and Technology, Department of Bioengineering, Neuroscience Program, Cancer Center at Illinois, Carl R. Woese Institute for Genomic Biology, and Carle Illinois College of Medicine at UIUC.
Before joining Illinois as a tenure-track assistant professor in 2019, Dr. Song obtained his Ph.D. degree in 2014 and conducted his postdoctoral training under the supervision of Drs. James Greenleaf and Shigao Chen at Mayo Clinic until 2018. His research interests include ultrafast ultrasound imaging, super-resolution ultrasound, functional ultrasound, 3D ultrasound imaging, deep learning, and ultrasound shear wave elastography. Dr. Song has published over 85 peer-reviewed journal papers with a Google Scholar total citation exceeding 4900 and an h-index of 38. He holds several patents that have been licensed and commercialized by major ultrasound companies and used worldwide in the clinic.
Dr. Song has delivered over 20 invited presentations including twice at the Gordon Research Conference. He has been regularly selected to the List of Teachers Ranked as Excellent by Their Students for his teaching career at UIUC.
Dr. Song is a recipient of the NIH K99/R00 Pathway to Independence Award, the NSF CAREER Award, the NIBIB Trailblazer Award, the IEEE Ultrasonics Early Career Investigator Award, and the Chan Zuckerberg Initiative (CZ) Early Career Acceleration Award. His research program has been continuously funded by NIH, DOD CDMRP, and NSF. He is an elected Fellow of the American Institute of Ultrasound in Medicine (AIUM), a Senior Member of the National Academy of Inventors (NAI), a Senior Member of IEEE, and a Full Member of the Acoustical Society of America (ASA).
Zoom:
https://umich.zoom.us/j/94801149707
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