The MBM Program continues its Frontiers in Miniature Brain Machinery lecture series with Pengfei Song. He is an Assistant Professor of Electrical and Computer Engineering at the University of Illinois.
Song will speak December 2, 2020 at 4pm in Zoom on “Ultrasound super-resolution imaging of the aging brain microvasculature.” The lecture is open to the public.
Abstract:
The rapid growth in the population living into their 80s and beyond has revealed a growing public health concern: the increase in individuals with cognitive impairment related to aging. The biomedical advances that have led to the increase in human lifespan has not been accompanied by a matching increase in the longevity of cognition. Although numerous changes occur in the aging brain that contribute to cognitive decline, one of the most universal but poorly understood changes is the decline in microvascular integrity: autopsy-based findings have revealed thinner and more tortuous vessels in aging brains than their younger counterparts. To study these aging-related microvascular changes in vivo, imaging is an indispensable tool. However, conventional imaging techniques do not provide adequate spatial resolution and imaging penetration to holistically and quantitatively evaluate brain microvasculature. In this presentation we will introduce a new ultrasound-based microvascular imaging technique that fills the technical gap of brain imaging and provides capillary-level imaging resolution for the entire brain. We demonstrate the utility of the technique on a cohort of young and aging mouse brains with quantitative measurements including microvessel density and blood flow speed. Histology results of the brain microvasculature were also used to compare with the ultrasound measurements.
Bio:
Pengfei Song is an Assistant Professor of the Department of Electrical and Computer Engineering. He is also a full-time faculty member at the Beckman Institute for Advanced Science and Technology, and an affiliated faculty member with the Carle Illinois College of Medicine and the Department of Bioengineering. He completed his PhD in Biomedical Engineering at the Mayo Clinic College of Medicine and Science, where he later became an Assistant Professor of Biomedical Engineering and Radiology and an Associate Consultant in the Department of Radiology.
Song’s research interests focus on ultrafast ultrasound imaging, ultrasound microvessel imaging, and ultrasound shear wave elastography. He has published over 50 peer-reviewed journal papers on topics of ultrasound shear wave elastography, ultrafast microvessel imaging, and super-resolution microvessel imaging. Song holds several patents that have been licensed and commercialized by major ultrasound companies, installed on top-tier ultrasound scanners and used worldwide to benefit patients. He is also an awardee of the NIH K99/R00 Pathway to Independence Award.
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For More Information, Visit https://minibrain.beckman.illinois.edu/2020/03/12/pengfei-song-to-give-frontiers-lecture/
