題目：Vision and Navigation in Surgery
時間：2022年1月11日 10:00-11:00
地點：機械與動力九五至尊旧网址欢迎光临學院 F210會議室
報告人：羅雄彪 教授（廈門大學 數字醫洛克莫丹療技術研發中心主任）
邀請人：陳曉軍 研究員（生物醫學制造與裁决生命質量九五至尊旧网址欢迎光临研究所）
Biography
Professor Luo, Xiongbiao earned his Ph
D 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.
