The Research On Soft Tissue Cutting Method In Surgery Simulation

Surgery simulation system is an important application of simulation technology in modern medicine. It simulates the process of surgery and provides the reliable surgery training environment for medical personnel. In a real surgery, soft-tissue cutting is a very common operation. Therefore, Soft-tissue cutting is a necessary issue in our surgery simulation system. Reality, real-time and stability in soft-tissue cutting is researched in this thesis, the work and results are as follow:By letting slices of human body be input data, a human liver model is built for cutting simulation under the platform of Amira which is a modeling software. There are many shortcomings in former cutting methods, such as bad sense of reality, weak real-time, even hard to improve the stability of simulation system. In order to conquer these shortcomings, this paper studies a new soft-tissue cutting method. The method realizes soft-tissue cutting by subdividing and splitting all the intersected tetrahedrons which are detected in collision detection Overall model stability is dependent on the stability of individual element, such that if an individual element becomes unstable, it forces the whole model to become unstable. Therefore, a snapping method is used to assure the stability of each element. The main idea of Snapping is varying the positions of edge intersections and face intersections under certain principles to avoid producing unstable elements.The experiment result demonstrates that the cutting method and Snapping method researched in this thesis has effectively improved the reality, real-time and stability of the surgery simulation system.