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GRID GENERATION FOR BRAIN VISUALIZATION AT THE CELLULAR AND TISSUE LEVEL

机译:在细胞和组织水平的脑部可视化网格生成

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Numerical grid generation is used to provide a framework for brain and neuron visualization. Smoothing spline surfaces are fit to contour data to generate 3D solid model reconstruction of brain tissue. Finite element methods are then used to subdivide the solid models into biologically-consistent finite elements. Numerical grid generation is employed to provide a curvilinear coordinate system within the finite elements. Synthetic and manually traced neurons are mapped into the gridded solid model using the curvilinear coordinate system. To this end grid generation tools, neuron mapping tools, and visualization tools have been implemented.
机译:数值网格生成用于为脑和神经元可视化提供框架。平滑花键表面适合轮廓数据,以产生脑组织的3D实体模型重建。然后使用有限元方法将固体模型细分为生物上一致的有限元。使用数值电网生成在有限元内提供曲线坐标系。使用曲线坐标系,合成和手动跟踪神经元映射到网格固体模型中。为此,已经实现了对此端网格生成工具,神经元映射工具和可视化工具。

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