Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software.
Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software.
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使用公共领域和开源软件进行神经外科模拟的特定方法多网格解剖建模。
DOI：
10.1117/12.877883
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Ewend,MatthewG
中科院分区：
文献类型：
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作者：
Audette,MichelA;Rivière,Denis;Law,Charles;Ibanez,Luis;Aylward,StephenR;Finet,Julien;Wu,Xunlei;Ewend,MatthewG
我们展示了正在进行的针对特定方法神经外科模拟的多分辨率脑沟可分离网格划分的工作，结合多重网格和总拉格朗日显式动力学有限元。交互式非线性有限元和小型结构的冲突要求导致了多重网格框架。网格划分的含义是对分辨率的明确控制，以及对预期神经外科方法和预期路径的先验知识。该信息用于定义在路径和目标病理的一定距离内的临床感兴趣的子体积。限制于该子体积的是更高分辨率的四面体化、关键组织的表示以及所有网格级别的脑沟可分离性约束。
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.