Knee arthroscopic navigation using virtual-vision rendering and self-positioning technology

Cong Ma, Xiwen Cui, Fang Chen, Longfei Ma, Shenghai Xin, Hongen Liao

Abstract: Knee arthroscopy suffers from a lack of depth information and easy occlusion of the visual field. To solve these limitations, we propose an arthroscopic navigation system based on self-positioning technology, with the guidance of virtual-vision views. This system can work without any external tracking devices or added markers, thus increasing the working range and improving the robustness of the rotating operation.