Development of Optimal Insertion Path Algorithms for Radiofrequency Ablation in Tumor Surgery and AR Enhancement

The study is based on the need to develop an algorithm to identify the optimal penetration path for inaccessible lesions, for instance, brain tumors and liver cancer, using radiofrequency needles. Applying the K-D tree method, which can significantly reduce computation time compared to conventional methods, aims to decrease both surgical time and associated risks. Furthermore, integrating augmented reality (AR) technology through Head-Mounted Display(HMD) such as the HoloLens can assist surgeons in visualizing and identifying the legions more accurately and safely during actual surgical procedures. The experimental results demonstrate an improvement in precision by at least 23% compared to the baseline method.