Precise Diagnosis and Treatment Integrating Intelligent Medical Image Analysis and Guidance
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Updated Time：2021-11-02 16:55:52
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Invited speech
Start Time：2021-11-13 09:55 （Asia/Shanghai）
Duration：25min
Session：[PS1] Plenary Session 1 » [SatMS] Saturday Morning Session
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Abstract
Intelligent and precise minimally invasive diagnosis and treatment has become one of the main trends of clinical medical development. How to improve the accuracy and efficiency of surgical diagnosis and treatment has become a major challenge for clinicians? Images are expected to present an intuitive and accurate real-time guidance for surgeons or therapeutics systems, making it efficient to reduce invasiveness in surgical treatment. The integration of diagnosis and therapeutic systems, which combines preoperative and intraoperative images have been established for precision tissue identification, tumor resection during surgery. Many relevant researches integrated mechanics, informatics, electronics and medical sciences have also been carried out and are highly applicable to disease diagnosis and therapy. These procedures include medical image/information assisted robotics surgery and minimally invasive intervention, and make surgery safer, less invasive and more effective. We have investigated novel image processing and multimodality image fusion methods in the field of quantitative and automatic analysis of lesions and anatomic structures to guide accurate diagnosis, efficient implant determination and radiation-free intraoperative navigation. We have also carried out intelligent medical image analysis to guide precision medical treatment in different medical applications such as cardiovascular, orthopedics, and neurosurgery. Our goals expect break through the traditional concept of minimally invasive surgery, open a new field of high-precision diagnosis and treatment for intelligent medicine.
Keywords
Speaker
Hongen Liao
Professor Tsinghua University* National "Thousand Talents" Distinguished Professor, China
* Vice Dean, School of Medicine, Tsinghua University
* Director of the Advanced Theranostics and 3-D Imaging Laboratory, Tsinghua University
* Past-President of Asian Society for Computer Aided Surgery
Dr. Hongen Liao received his B.S. degree in mechanics and engineering sciences from Peking University, Beijing, China, in 1996, and the M.E. and Ph.D. degrees in biomedical precision engineering from the University of Tokyo, Tokyo, Japan, in 2000 and 2003, respectively. He was a Research Fellow of Japan Society for the Promotion of Science (JSPS). Since 2004, he has been a faculty member at the Graduate School of Engineering, The University of Tokyo, where he became an Associate Professor in 2007. He has been selected as a National "Thousand Talents" Distinguished Professor, China since 2010, and is currently a Full Professor and Vice Dean in the School of Medicine, and the Department of Biomedical Engineering, Tsinghua University, China.
Professor Liao is Director and Founder of the Advanced Theranostics and 3-D Imaging Laboratory, Tsinghua University. His research interests include 3D medical image, image-guided surgery, medical robotics, computer-assisted surgery, and fusion of these innovative healthcare technologies for minimally invasive precision diagnosis and therapy. He is the author and co-author of more than 300 peer-reviewed articles and proceedings papers, as well as 80 international invited lectures, over 60 patents and 320 conference abstracts. Dr. Liao was distinguished by receiving multiple government awards and various best paper awards from different academic societies. Prof. Liao is an Associate Editor of IEEE Engineering in Medicine and Biology Society Conference, the General Chair, Program Chair and Organization Chair of multiple international conferences including MIAR, MICCAI, ICDT and ACCAS. He has served as a President of Asian Society for Computer Aided Surgery and Co-chair of Asian-Pacific Activities Working Group, International Federation for Medical and Biological Engineering (IFMBE).
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Important Dates
| Abstract submission date: |
2021-10-25 |
| Full paper submission date: |
2021-10-25 |
| Notification of acceptance date: |
2021-11-01 |
| Conference date: | 2021-11-12~2021-11-14 |
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