脑移位模拟中的网格生成技术
Techniques on mesh generation for the brain shift simulation
摘要：
神经外科干预涉及复杂的跟踪系统，因为组织变形发生。神经导航系统仅依赖于术前图像。为了克服软组织变形并保证导航的准确性，可以在手术期间使用生物力学模型来模拟大脑的变形。因此，一个最佳的实时有限元模型（FEM）的网格生成变得至关重要。在这项工作中，我们提出了不同的替代方案，从网格生成的角度来看，进行了评估，以优化过程中的元素的数量和质量，以及术中应用和患者的具体数据的限制。
英文摘要：
Neurosurgery interventions involve complex tracking systems because a tissue deformation takesplace. The neuronavigation system relies only on preoperative images. In order to overcome the soft tissue deformations and guarantee the accuracy of the navigation a biomechanical model can be used during surgery to simulate the deformation of the brain. Therefore, a mesh generation for an optimal real-time Finite Element Model (FEM) becomes crucial. In this work we present different alternatives from a meshgeneration point of view that were evaluated to optimize the process in terms of elements quantity and quality as well as constraints of a intraoperative application and patient specific data.
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