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Microstructure oriented modelling of hierarchically perfused porous media for cerebral blood flow evaluation

机译:脑血流量评价的分层灌注多孔介质的微观结构导向

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We used immunochemistry, light microscopy and stereological methods for quantitative description of the microvascular network in 13 tissue samples of the human brain. While the tortuosity of microvessels was comparable in all brain parts under study, the length density of microvessels was higher in subcortical grey matter (652.5±162.0 mm~(-2)) and in the cortex (570.9±71.8 mm~(-2)) than in the white matter (152.7±42.0 mm~(-2)). The numerical density of microvessels was higher in subcortical grey matter (3782.0±1602.0 mm~(-2)) and cerebral cortex (3160.0±638.4 mm~(-3)) than in white matter (627.7±318.5 mm~(-3)). We developed simulation software gensei which generates series of images representing three-dimensional models of microvessels with known length density, volume fraction, and surface density. The simulations are statistically similar to real microvessel networks and can be used for computer modelling of brain perfusion.
机译:我们使用免疫化学,光学显微镜和立体学方法,用于在13个组织样本中的微血管网络的定量描述。虽然微血管的曲折性在研究中的所有脑部相当,但微血管的长度密度在皮质灰质(652.5±162.0mm〜(2))和皮质(570.9±71.8mm〜(-2)中)比在白物中(152.7±42.0mm〜(2))。微血管灰质的数值密度较高(3782.0±1602.0mm〜(-2))和脑皮层(3160.0±638.4 mm〜(-3)),而不是白体物质(627.7±318.5 mm〜(3) )。我们开发了仿真软件Gensei,它产生一系列图像,代表具有已知长度密度,体积分数和表面密度的微孔晶体的三维模型。模拟与真实的微型网络统计上类似,可用于脑灌注的计算机建模。

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