Asso.Prof. Xiaojun Chen
Project Description and Objectives
As a modern minimally-invasive surgery, endoscopic techniques are widely used in the field of surgery. However, currently orthopedic robots are only applicable to traditional open surgery, their working principles, operation mode, as well as the software and hardware systems simply do not apply to endoscopic surgery. In this project, some leading-edge algorithms regarding multi-modal image registration, automatic segmentation, high quality visualization, and precise planning are proposed for important anatomical structures in the musculoskeletal system. Subsequently, a surgical navigation system based on Augmented Reality is established on the basis of real time segmentation, non-rigid registration and 3D reconstruction for intra-operative ultrasound and endoscopic images. This is aimed at solving problems of soft tissue deformation and tracking. Finally, comprehensive, light, and smart mechanical structures and control systems for surgical robots in endoscopic orthopedics will be designed and integrated with our previously self-developed surgical navigation and robotic system, to achieve the ultimate prototype of “Endoscopic Surgical Robotics Based on Augmented Reality”. The accuracy, effectiveness and reliability of the whole system will be validated through phantom experiments and clinical trials, with the goal of the mass clinical application. The research outcome of this project will promote the personalization, safety, accuracy, and minimalizing the invasiveness of endoscopic orthopedics, thus leading the direction of the international field of orthopedic robotics.
Interested students should be very proficient in C++ programming and have basic knowledge of medical image computing.
Develop a software.
Finish a research report.
Give two research presentations (a. references review; b. technical presentation).
Submit one paper to a journal as a co-author.