Neurosurgery Simulation Using Non-linear Finite Element Modeling and Haptic Interaction.
Neurosurgery Simulation Using Non-linear Finite Element Modeling and Haptic Interaction.
复制标题
使用非线性有限元建模和触觉交互进行神经外科模拟。
DOI：
10.1117/12.911987
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Enquobahrie,Andinet
中科院分区：
文献类型：
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作者：
Lee,Huai-Ping;Audette,Michel;Joldes,GrandRoman;Enquobahrie,Andinet
实时手术仿真正成为外科手术培训的重要组成部分。然而，为了满足实时性的要求，软组织的生物力学建模的准确性往往是妥协，由于计算资源的限制。此外，触觉集成提出了一个额外的挑战，其要求高更新率。因此，大多数实时手术模拟系统采用线性弹性模型、简化的数值方法（例如边界元法或弹簧-粒子系统）和粗体积网格。然而，这些系统在临床上并不现实。我们在这里提出了一个正在进行的工作，旨在开发一个有效的和物理上逼真的神经外科模拟器，使用非线性有限元方法（FEM）与触觉交互。实时有限元分析是通过利用总拉格朗日显式动力学（TLED）制定和GPU加速的每节点和每元素的操作。我们采用了虚拟耦合方法分离的可变形体模拟和碰撞检测触觉渲染，这需要在一个更高的速度比视觉模拟更新。该系统提供了准确的生物力学建模的软组织，同时保持与触觉交互的实时性能。然而，我们的实验表明，模拟器的稳定性在很大程度上取决于组织的材料属性和碰撞物体的速度。因此，需要额外的努力，包括动态松弛，以提高系统的稳定性。
Real-time surgical simulation is becoming an important component of surgical training. To meet the realtime requirement, however, the accuracy of the biomechancial modeling of soft tissue is often compromised due to computing resource constraints. Furthermore, haptic integration presents an additional challenge with its requirement for a high update rate. As a result, most real-time surgical simulation systems employ a linear elasticity model, simplified numerical methods such as the boundary element method or spring-particle systems, and coarse volumetric meshes. However, these systems are not clinically realistic. We present here an ongoing work aimed at developing an efficient and physically realistic neurosurgery simulator using a non-linear finite element method (FEM) with haptic interaction. Real-time finite element analysis is achieved by utilizing the total Lagrangian explicit dynamic (TLED) formulation and GPU acceleration of per-node and per-element operations. We employ a virtual coupling method for separating deformable body simulation and collision detection from haptic rendering, which needs to be updated at a much higher rate than the visual simulation. The system provides accurate biomechancial modeling of soft tissue while retaining a real-time performance with haptic interaction. However, our experiments showed that the stability of the simulator depends heavily on the material property of the tissue and the speed of colliding objects. Hence, additional efforts including dynamic relaxation are required to improve the stability of the system.