Research on Optimization Method of Navigation and Localization for A C-arm System

In the realm of modern surgery, the integration of technology has significantly enhanced precision and outcomes. The utilization of C -arm systems has particularly revolutionized intraoperative navigation and localization. This research endeavors to explore optimization methods to further refine the accuracy and efficiency of navigation and localization within the realm of C-arm systems. Through a comprehensive review of existing methodologies and advancements, coupled with empirical studies and computational simulations, this research proposes novel strategies for enhancing navigation and localization accuracy. Key areas of focus include real-time image processing algorithms for improved anatomical recognition, advanced sensor fusion techniques for precise instrument tracking, and adaptive machine learning algorithms for personalized surgical guidance. By amalgamating these approaches, this research aims to develop robust optimization methods that can seamlessly integrate with C-arm systems, ultimately fostering safer and more precise surgical interventions. The findings of this study not only contribute to the academic discourse surrounding surgical navigation but also offer practical insights for clinicians and technologists aiming to advance the capabilities of C -arm systems in clinical practice.