Decision and Control Lecture Series
Coordinated Science Laboratory
Computer Vision and Robotics in Interventional Procedures: From Intra-Operative Image Mapping to Interactive Robotic Surgical Training
Zhejiang University/University of Illinois at Urbana-Champaign (ZJU-UIUC) Institute
Wednesday, September 26, 2018
3:00 p.m. to 4:00 p.m.
CSL Auditorium (B02)
Title: Computer Vision and Robotics in Interventional Procedures: From Intra-Operative Image Mapping to Interactive Robotic Surgical Training
Robotics and Computer Vision have profound impact on the advancement of medicine by equipping modern surgical procedures with unprecedented dexterous, visual and informational augmentations. Minimally invasive surgeries are examples that benefit from innovative imaging and robot-assisted technologies. In the talk, I will present my research that incorporates Robotics and Computer Vision to improve treatment procedures. This research encompasses the registration of pre-operative surgical plans with robotic systems as well as the enhancement of intra-operative images. A self-contained image mapping framework for 3D ultrasound image-guided endoscopic procedures developed to equip surgeons with an intuitive visualization of the vascular network will be presented. This example demonstrates the application of Computer Vision in overcoming the limitations of conventional intra-operative imaging methods. The talk will end with a look at a potential research on interactive robotic systems for surgical simulation and training.
Liangjing Yang is an assistant professor in Zhejiang University/ University of Illinois at Urbana-Champaign (ZJU-UIUC) Institute. He received the B.Eng. and M.Eng. degrees in mechanical engineering from the National University of Singapore. He obtained the D.Eng. degree from the University of Tokyo before receiving a joint postdoctoral fellowship to work at the Singapore University of Technology and Design, and Massachusetts Institute of Technology. Liangjing’s research interests are in Robotics and Computer Vision primarily focusing on medical applications. His work on image mapping for 3D ultrasound-guided endoscopic procedures is featured extensively in journals and conferences. He also developed a robotic system for overlapping ablation of large liver tumor, which is published in a special issue on “Surgical and Interventional Medical Devices” of ASME/IEEE Transactions on Mechatronics. He holds a US patent on a Robotic Surgical Training System. This development was named “Best Innovation in Biomedical Application” in a challenge organized by National Instrument in 2011.