Design and Development of a Virtual Laparoscopic Surgery Training and Assessment System

• Main Authors: Syu-Ru Chen, 陳栩茹
• Other Authors: Yuan-Hsiang Lin
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/b84e54

碩士 === 國立臺灣科技大學 === 電子工程系 === 102 === Compared with the traditional open surgery, minimally invasive surgery (MIS) has the advantages of small incision, less blood and faster recovery. However, surgeons need to conduct operations by watching the monitor through the laparoscope, so their skills, stabilization and hand-eye coordination are vital, making MIS relatively difficult. Therefore, in addition to a large amount of knowledge, we need effective training tools to improve the dexterity of operations skills, thereby lowering the risk of the surgery. The developed system of virtual laparoscopic training surgery in this paper includes three parts: an instrument positioning device, a training box and virtual reality (VR) scenes. We design a positioning device to capture the space coordinate, rotation angle and clip information from the surgery instruments, aim to provide reliable instrument positioning data. In order to solve the problem of lacking haptic feedback in VR, we construct some physical objects inside the training box to map the virtual scene. There are two training modules in the training system, stable training module, and ball-clipping-by-two-hands training module. By collecting the instrument tracking data of experimental practice from experts and novices, this paper identifies the characteristics of experts and novices respectively, and finds different classification thresholds to experts and novices. The results show that its accuracy for classification can reach up 91%.