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Multiscale Modelling of 3-Dimensional Brain Tissue with Capillary Distribution

机译:三维脑组织与毛细管分布的多尺度建模

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Existing brain model has been developed to study brain oedema formation in ischaemic stroke, assumed the brain as a homogenized structure and ignored the effects of blood capillary of the brain. Thus, the aim of this study is to reconsider the effects of capillary in the brain model through multiscale approach using asymptotic expansion homogenization (AEH) technique. AEH is applied to the existing governing equations of the brain, resulting in new governing equations consist of 6 homogenized macroscale equations and 4 microscale cell problems. Actual brain capillary geometry is developed based on actual capillary network distribution data generated using modified spanning tree method. The microscale cell problems are then solved in actual brain capillary geometry in order to obtain four important parameters, namely the hydraulic conductivity, homogenous Biot's coefficient and elastic stiffness tensor. From the result, the distribution matrix obtained for hydraulic conductivity is not isotropic. This problem can be improved by increasing the volume of the actual capillary geometry. For homogenous Biot's coefficient, the matrix obtained is isotropic, however the reliability of the result obtained can be improved by solving the cell problem in multiple capillary geometries. For elastic stiffness tensor, it can be concluded that this parameter does not significantly affected the macroscale equations of bigger brain. All these parameters are required later in order to solve the homogenized macroscale equations for the investigation of brain diseases such as ischaemic stroke and dementia.
机译:已经开发出现有的脑模型来研究脑水肿在缺血性中风中的形成,假设大脑作为均质结构,忽略了脑血小毛细血管的影响。因此,本研究的目的是通过使用渐近膨胀均质(AEH)技术重新考虑脑模型中毛细管模型的影响。 AEH应用于大脑的现有控制方程,导致新的控制方程组成,包括6个均质宏观等级和4微粒细胞问题。基于使用修改生成树方法生成的实际毛细管网络分布数据,开发了实际的脑毛细管几何。然后在实际脑毛细管几何形状中求解微观细胞问题,以获得四个重要的参数,即液压导电,均匀的Biot系数和弹性刚度张量。从结果,用于液压导电性获得的分布矩阵不是各向同性的。通过增加实际毛细管几何体积的体积可以提高这个问题。对于均匀的Biot系数,所获得的基质是各向同性的,但是通过求解多毛细管几何形状中的细胞问题,可以改善所得结果的可靠性。对于弹性僵硬张量,可以得出结论,该参数不会显着影响大脑的宏观方程。稍后需要所有这些参数,以解决均质宏观血浆方程,以便调查脑疾病,如缺血性卒中和痴呆。

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