Title:
Ultrasound for Brain Imaging and Therapy

dc.contributor.author Shi, Chengzhi
dc.contributor.corporatename Georgia Institute of Technology. Institute for Electronics and Nanotechnology en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Mechanical Engineering en_US
dc.date.accessioned 2022-11-12T01:03:50Z
dc.date.available 2022-11-12T01:03:50Z
dc.date.issued 2022-10-25
dc.description Presented on October 25, 2022 from 12:00 p.m.-1:00 p.m. in the Marcus Nanotechnology Building, Rooms 1116-1118, Georgia Tech, Atlanta, GA. en_US
dc.description Chengzhi Shi is an assistant professor in the George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. He is also a program faculty of Bioengineering in the Parker H. Petit Institute for Bioengineering and Bioscience and Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech. Before joining Georgia Tech, Shi earned a Ph.D. from the University of California, Berkeley in 2018 and both an M.S. and B.S. degree from Shanghai Jiao Tong University in 2013 and 2010. His research interests include physical acoustics, wave propagation, metamaterials, ultrasound imaging, and therapeutic ultrasound. He has published many highly cited papers in prestigious journals including Science, PNAS, and Nature Communications. Shi has won prestigious awards including NSF CAREER and ONR YIP awards. en_US
dc.description Runtime: 58:36 minutes en_US
dc.description.abstract The development of acoustic metamaterials and the resulted manipulation of ultrasound wave propagation have led to many important technologies that can potentially be applied in medical diagnostics and therapy such as transcranial ultrasound, enhanced cavitation effect for histotripsy and thrombolysis, and noninvasive kidney stone management. In this talk, we will focus on two metamaterial applications in medical imaging and therapy: transcranial imaging enabled by non-Hermitian complementary acoustic metamaterial (NHCMM) and fast sonothrombolysis through vortex ultrasound induced shear stress. High-resolution transcranial imaging using noninvasive high-frequency ultrasound is challenging due to the impedance mismatch between skull and soft tissues and the intrinsic loss because of the porous skull. The development of active NHCMM can compensate the transmission loss resulting from both effects simultaneously that enhances transcranial transmission for high-resolution imaging. For the treatment of blood clots, sonothrombolysis has been demonstrated to be effective. However, the treatment usually last for more than 15 hours when treating a large clot, which is undesirable for the patient and surgeon and can sometimes become life threatening for severe cases of cerebral venous sinus thrombosis (CVST). The active metasurface generated vortex ultrasound induces contactless shear stress in the blood clot that drastically enhances fibrinolysis in blood clots that remarkably reduce the required treatment time with low risk of hemorrhage, especially in treating large, completely occluded, acute clots. Such capability makes the vortex ultrasound based endovascular sonothrombolysis a life-saving tool for severe cerebral venous sinus thrombosis, which has an increasing trend among young patients due to the COVID-19 pandemic. en_US
dc.format.extent 58:36 minutes
dc.identifier.uri http://hdl.handle.net/1853/69949
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries Nano@Tech Lecture Series
dc.subject Ultrasound en_US
dc.subject Imaging en_US
dc.subject Therapy en_US
dc.title Ultrasound for Brain Imaging and Therapy en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.author Shi, Chengzhi
local.contributor.corporatename Institute for Electronics and Nanotechnology (IEN)
local.relation.ispartofseries Nano@Tech Lecture Series
relation.isAuthorOfPublication ccc207c0-2423-4c6f-a1f4-15de996c4a97
relation.isOrgUnitOfPublication 5d316582-08fe-42e1-82e3-9f3b79dd6dae
relation.isSeriesOfPublication accfbba8-246e-4389-8087-f838de8956cf
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