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Effects of Brain Tissue Mechanical and Fluid Transport Properties during Ischaemic Brain Oedema: A Poroelastic Finite Element Analysis

机译:缺血性脑水肿过程中脑组织机械和液体传输特性的影响:多孔弹性有限元分析

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Reperfusion after ischaemic stroke is risky as it can result in the formation of brain oedema and brain tissue swelling, which subsequently leads to brain herniation. Brain herniation is an undesirable condition that may affect brain functionality and fatality. A mathematical model based on poroelastic model has been previously developed to describe brain oedema formation. In that model, the brain tissue is assumed as a homogeneous isotropic material. In this paper, the effects of the brain mechanical and fluid transport properties on brain oedema progression are investigated by solving the model in a realistic brain geometry using finite element scheme. Four model parameters, namely brain tissue Young's modulus, Poisson's ratio, water permeability, and viscosity are varied so that their effect on brain oedema formation can be investigated. The results show that the brain Young's modulus and Poisson's ratio play more important role in brain oedema formation compared to the water permeability and viscosity, when varying within certain limits. From these findings, the brain tissue mechanical properties must be optimized so that the model can be used extensively for patient-specific brain oedema progression prediction.
机译:缺血性中风后的再灌注是危险的,因为它可能导致脑水肿和脑组织肿胀,继而导致脑疝。脑疝是一种不良状况,可能会影响脑功能和死亡。先前已经开发了基于多孔弹性模型的数学模型来描述脑水肿的形成。在该模型中,大脑组织被假定为均质的各向同性材料。在本文中,通过使用有限元方案在逼真的大脑几何形状中求解模型,研究了大脑机械和流体传输特性对大脑水肿进展的影响。改变四个模型参数,即脑组织的杨氏模量,泊松比,透水性和粘度,以便可以研究它们对脑水肿形成的影响。结果表明,当在一定范围内变化时,与水的渗透性和粘度相比,脑的杨氏模量和泊松比在脑水肿形成中起着更重要的作用。根据这些发现,必须优化脑组织的机械性能,以便该模型可以广泛用于患者特定的脑水肿进展的预测。

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