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

机译:脑部脑水肿脑部机械和流体运输特性的影响: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:缺血性卒中后再灌注是风险的,因为它可能导致脑水肿和脑组织肿胀的形成,随后导致脑疝气。脑疝是一种可能影响脑功能和死亡的不良病症。先前已经开发了一种基于多孔弹性模型的数学模型来描述脑水肿形成。在该模型中,脑组织被认为是均匀的各向同性材料。本文采用有限元方案求解现实脑几何形式,研究了脑机械和流体运输特性对脑水肿进展的影响。四种模型参数,即大脑组织杨氏模量,泊松比,水渗透性和粘度,从而可以研究它们对脑水肿形成的影响。结果表明,与水渗透率和粘度不同,脑杨氏模量和泊松比在脑水肿和粘度下,在某些限度范围内变化时,在脑水肿形成中起着更重要的作用。从这些发现中,必须优化脑组织机械性能,使模型可以广泛用于患者特异性脑水肿进展预测。

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