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Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software

机译:使用公共领域和开源软件进行神经外科模拟的特定方法的多网格解剖模型

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We present on-going work on multi-resolution sulcal-separable meshing for approach-specific neurosurgery simulation, in conjunction multi-grid and Total Lagrangian Explicit Dynamics finite elements. Conflicting requirements of interactive nonlinear finite elements and small structures lead to a multi-grid framework. Implications for meshing are explicit control over resolution, and prior knowledge of the intended neurosurgical approach and intended path. This information is used to define a subvolume of clinical interest, within some distance of the path and the target pathology. Restricted to this subvolume are a tetrahedralization of finer resolution, the representation of critical tissues, and sulcal separability constraint for all mesh levels.
机译:我们结合多网格和总拉格朗日显式动力学有限元,介绍了针对特定于方法的神经外科手术仿真的多分辨率可分离龈沟网格的正在进行的工作。交互式非线性有限元和小型结构的冲突要求导致了多网格框架。网格划分的含义是对分辨率的明确控制,以及对预期的神经外科方法和预期路径的先验知识。该信息用于在路径和目标病理学之间的某个距离内定义临床关注的子体积。限于此子体积的是更精细分辨率的四面体化,关键组织的表示以及所有网格级别的沟渠可分离性约束。

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