BME Seminar Series: Pengfei Song
Content
A New Era of Microvascular Imaging with Super-resolution Ultrasound
Pengfei Song, PhD
Duke University
Thursday, December 17
Morrill III rm. 203
1:00-2:15 PM
Over the past decade, super-resolution ultrasound imaging (also known as ultrasound localization microscopy) has rapidly emerged as a transformative frontier in tissue microvascular imaging, which offers an unprecedented combination of spatial resolution and imaging depth. To date, super-resolution ultrasound remains the only biomedical imaging modality capable of visualizing the microvasculature and quantifying microvascular blood flow at clinically relevant depths without tissue destruction. In this presentation, I will introduce the fundamental principles of super-resolution ultrasound imaging, highlight our group's efforts to improve its robustness and clinical practicality, and discuss our ongoing preclinical and clinical translation studies across a broad range of applications, including cancer, organ transplantation, and neurological diseases and disorders.
About Pengfei Song: Pengfei Song, PhD is an Associate Professor of Biomedical Engineering at Duke University. He conducted both his PhD and postdoctoral training under the supervision of Drs. James Greenleaf and Shigao Chen at Mayo Clinic. 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 100 peer-reviewed journal papers in the domain of ultrasound imaging. 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 40 invited presentations. He has been regularly selected to the List of Teachers Ranked as Excellent by Their Students for his teaching career.
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, the Chan Zuckerberg Initiative (CZ) Early Career Acceleration Award, and the Campus Distinguished Promotion Award. His research program has been continuously funded by federal agencies including NIH, DOD CDMRP, NSF, and ARPA-H. 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).