深圳大学西丽校区

学术讲座

【医学部】学术讲座--Ultrafast and super-resolution imaging with ultrasound and microbubbles

2019年04月15日

题   目: Ultrafast and super-resolution imaging with ultrasound  and microbubbles

主讲嘉宾:帝国理工学院 教授 Meng-Xing Tang  博士

时  间: 2019416日上午 9:30 – 11:00

地   点: 深圳大学西丽校区 A2-517

主 持 人:陈昕 教授

主讲嘉宾简介:

Meng-Xing Tang  is a Chair Professor of Biomedical Imaging and co-Director of Research in the  Department of Bioengineering, Imperial College London. He founded and is  currently leading the Ultrasound Laboratory for Imaging and Sensing (ULIS).  Currently his group is focusing on developing new ultrasound imaging/tomography  techniques, particularly of very high temporal and spatial resolution and image  contrast, in order to quantify tissue structure, physiological flow, perfusion,  and molecular information and explore their applications in cardiovascular  diseases, cancer, and neurology. He has supervised 17 PhD students to successful  completion, and has authored over 90 peer-reviewed journal papers and many  conference papers. His research has been generously funded by the U.K. EPSRC,  Cancer Research U.K., the British Heart Foundation, the Wellcome Trust, and the  Royal Society. Prof. Tang is a on the management board of the Cancer Research  Centre of Excellence, a new strategic partnership between Imperial College and  Institute of Cancer Research. He is an Associate Editor of the IEEE T  UFFC.

The advent of microbubble contrast agents has inspired new  methods for imaging blood flow, tissue perfusion and molecular targets using  contrast enhanced ultrasound (CEUS) in cardiovascular and oncological  applications. Recent advances have shown that it is possible to achieve CEUS  imaging in very high temporal (high frame rate / ultrafast imaging, up to tens  of thousands of fps at centimeter depth) and spatial resolution  (super-resolution imaging, down to microns at centimeter depth). Such techniques  open up new opportunities to image fast moving targets (e.g. a beating heart,  arterial flow) and small targets with weak signals (microvascular  flow).