Harders M, Hutter R, Rutz A, Niederer P, Székely G
Computer Vision Lab, ETH Zurich, Switzerland.
Stud Health Technol Inform. 2003;94:103-9.
Virtual reality based surgical simulators offer a very elegant approach to enhancing traditional training in endoscopic surgery. In this context a realistic soft tissue model is of central importance. The most accurate procedures for modeling elastic deformations of tissue use the Finite Element Method (FEM) to solve the governing mechanical equations. An alternative are mass-spring models which are a crude approximation of the real physical behavior. The main reason given when using the mass-spring approach is the computational complexity of FEM. In this study we show that an optimized linear FEM model requires computation time similar to the mass-spring approach, while giving better results.
基于虚拟现实的手术模拟器为加强传统的内镜手术培训提供了一种非常巧妙的方法。在这种情况下,逼真的软组织模型至关重要。用于模拟组织弹性变形的最精确程序使用有限元法(FEM)来求解支配力学方程。另一种方法是质量 - 弹簧模型,它是对实际物理行为的粗略近似。使用质量 - 弹簧方法的主要原因是有限元法的计算复杂性。在本研究中,我们表明,优化的线性有限元模型所需的计算时间与质量 - 弹簧方法相似,但能给出更好的结果。