题目：Vision and Navigation in Surgery

时间：2022年1月11日 10:00-11:00

地点：机械与动力工程学院 F210会议室

报告人：罗雄彪 教授（厦门大学 数字医疗技术研发中心主任）

邀请人：陈晓军 研究员（生物医学制造与生命质量工程研究所）

Biography

Professor Luo, Xiongbiao earned his PhD degree in Information Science from Nagoya University Japan in 2011. He was a Postdoctoral Fellow and Assistant Professor in Nagoya University, Japan, Visiting Professor at Technical University of Munich, Germany, Postdoctoral Fellow in the University of Western Ontario, Canada, and Professorship Researcher in the French National Institute of Health and Medical Research, France, and Principal Technical Consultant of Boston Scientific Corporation, USA. Since 2015, he is a Full Professor with the Department of Computer Science at the School of Informatics, Department of Basic Medical Sciences at the School of Medicine, and Director of XMU Center for Surgery and Engineering, Xiamen University, China.  His current interest includes artificial intelligence in medical imaging, surgical vision, navigation, and robotics, computational photography, and computer vision. He edited six books at Springer and has more than 120 peer-reviewed publications on these subjects in flagship journals and conferences including IEEE Transactions on Medical Imaging, Medical Image Analysis, MICCAI and CVPR. He is an Associate Editor of IEEE Transaction on Medical Robotics and Bionics, IEEE Robotics and Automation Letters, IEICE Transactions on Information and Systems, Associate Editor of IEEE International Conference on Robotics and Automation (ICRA) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),  Area Chair (2017-) of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), and Program Committee Member (2019-) of International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS). He is a Senior Member of IEEE and Reviewer for more than 50 international journals and conferences.

Abstract

Endoscopic video processing to maintain and augment a clear field of in-situ direct vision in minimally invasive surgery or robotic assisted surgery is paramount not only for safety by preventing inadvertent injury, but also to improve precision and reduce operative time. Surgical navigation is a combination of computational anatomy, tracking algorithms or devices, image data confluence, and specialized instruments to assist and guide surgeons during surgery, and provides accurate real-time positioning of in vivo anatomical structures and organs as well as surgical instruments overlaid on preoperative images in the operating room. More interestingly, medical robotics with surgical navigation are generally recognized as the next generation of surgical technology. This talk will update endoscopic vision and navigation methods in surgery. Recent advances and ongoing work related to those three areas in my laboratory will be presented in this talk.