| Summary: | 碩士 === 國立虎尾科技大學 === 機械與電腦輔助工程系碩士班 === 104 === Laparoscopic surgery has become increasingly prevalent in recent years. Compared with conventional laparotomic surgery, laparoscopic surgery is more advantageous for creating smaller wounds, causing less blood loss, and facilitating faster recovery in patients. However, for physicians, laparoscopic surgery is more difficult to perform; therefore, related surgical training becomes crucial. Currently, the most common surgical training methods include laparoscopic box training and internship-based shadowing. However, because the two methods require the presence of experienced physicians during training and lack objective analyses and assessments, the implementation of virtual reality-based training has received increasing attention instead.
This study developed a minimally invasive surgery-based simulation and training system for cholecystectomy curricula by building on-site models, reconstructing CT scan data into three-dimensional data through related software, and smoothing models of organ soft tissues. Next, a virtual reality software, EON Professional was employed as the development tool. Specifically, Visual Studio 2010 was coordinated with EON SDK nodes and an open algorithm to conduct approximate nearest neighbor searching, the basic theory of which was used to derive the effect of contact deformation. Subsequently, EON Studio and expansion nodes were combined to generate the electric burn effect. To prevent bile leakage during cholecystectomy, a tubing clamp must be placed on the bile duct before the operation, and the placement must be in accordance with the vectors and angles of the equipment used. The proposed training system was developed using the aforementioned methods, in addition to other methods not mentioned in this study. The objective of this system is to improve users’ accuracy and skills in performing surgical operations.
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