报告主题：Ultrasound imaging: From ultrafast and complex to handheld-based and simple
报告人：Chris de Korte
报告时间：9月22日（周五）10:30
报告地点：江湾校区交叉二号楼B5007会议室
Abstract: Ultrasound is the most versatile and low-cost medical imaging modality. It has excellent temporal and spatial resolution and allows functional imaging. With the availability of ultrafast imaging, a multitude of functional imaging techniques became available. At MUSIC, we have applied ultrafast imaging to boost 3D breast imaging, to improve strain and flow imaging in the carotid artery. Furthermore, we have developed AI-driven handheld ultrasound devices to democratize ultrasound imaging by surpassing the barrier of extensive training while minimizing the cost price.
Bio: Chris L. de Korte received the M.Sc. degree in electrical engineering from the Eindhoven University of Technology, Eindhoven, Netherlands, in 1993, and the Ph.D. degree in medical sciences from the Thoraxcenter, Erasmus University Rotterdam, Rotterdam, The Netherlands, with the focus on intravascular ultrasound elastography. In 2002, he joined the Clinical Physics Laboratory, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands, as an Assistant Professor and became the Head in 2004. In 2006, he was an Associate Professor of Medical Ultrasound Techniques and he finished his training as a Medical Physicist in 2007. Since 2012, he serves as the founder and director of the Medical UltraSound Imaging Center (MUSIC), Department of Medical Imaging, Radboudumc, Nijmegen. He was appointed as a Full Professor on Medical Ultrasound Techniques in 2015. Since 2016, he has been a Full Professor on Medical Ultrasound Imaging, University of Twente, Enschede, The Netherlands. He has (co-)authored over 200 peer-reviewed articles in international journals and is (co-)inventor on four patents. His research interests include functional imaging and acoustical tissue characterization for diagnosis, treatment monitoring, and guiding interventions for oncology and vascular applications. Recently, he also focuses on AI driven apps for Point of Care Ultrasound.
