Research on Optimization Strategy of Surgical Robot CT Navigation System

With the development of artificial intelligence, surgical robot technology based on computed tomography (CT) navigation system has been widely used in preoperative diagnosis and intraoperative positioning, improving the success rate of surgery. This paper aims to explore the optimization strategy of surgical robot CT navigation systems. In addition, this paper proposes a new CT navigation system optimization strategy that can be realized in the future to further improve the system's accuracy. The optimization of the CT navigation system mainly includes two aspects: the improvement of CT imaging quality and the improvement of navigation system accuracy. Among them, the key to the optimization of imaging quality lies in the elimination of artifacts, which can be achieved through the metal artifact removal algorithm (MAR) and the adjustment of tube voltage and exposure parameters. Due to the complexity of parameter adjustment operation, the MAR algorithm is better than adjusting scanning parameters. The optimization strategy of navigation accuracy focuses on Three-Dimensional to Two-Dimensional Registration (3D-2D registration) and intraoperative positioning. The current research direction is to integrate a real-time positioning system and CT navigation technology to realize path planning and reduce navigation errors. This article provides ideas for improving CT navigation technology from different aspects in the future, which will help further the development of surgical robot technology.