脑肿瘤生长对脑脊液流速影响的数值模拟及流固耦合分析
Analysis of Growing Tumor on the Flow Velocity of Cerebrospinal Fluid in Human Brain Using Computational Modeling and Fluid-Structure Interaction
摘要：
脑脊液（CSF）在大脑的正常功能中起着关键作用。颅内隔室如血液、脑和CSF本质上是不可压缩的。因此，如果观察到上述隔室中的一个隔室中的体积不平衡，则另一个隔室伸出手来将净变化保持为零。而CSF具有更高的长期顺应性。然而，如果脑脊液流在脑室中受阻，这种顺应性可能会提前耗尽。另一方面，脑肿瘤通过压迫脑室的任何部分从而导致阻塞，对CSF流动的不稳定提出了类似的挑战。为了避免侵入性程序来研究肿瘤对CSF流动的影响，使用基于数值的方法，例如有限元建模（FEM），其提供了对潜在病理相互作用的良好描述。建立了一个三维流固耦合（FSI）模型，研究了肿瘤生长对脑室内脑脊液流动的影响。FSI模型封装了分析脑室内CSF流动行为所需的所有生理参数。结果表明，脑肿瘤影响脑脊液流动参数的脑室壁变形，在这种情况下，伴随着平均上升74.23%的脑脊液流速和脑室壁相当大的变形。
英文摘要：
Cerebrospinal fluid (CSF) plays a pivotal role in normal functioning of Brain. Intracranial compartments such as blood, brain and CSF are incompressible in nature. Therefore, if a volume imbalance in one of the aforenoted compartments is observed, the other reaches out to maintain net change to zero. Whereas, CSF has higher compliance over long term. However, if the CSF flow is obstructed in the ventricles, this compliance may get exhausted early. Brain tumor on the other hand poses a similar challenge towards destabilization of CSF flow by compressing any section of ventricles thereby ensuing obstruction. To avoid invasive procedures to study effects of tumor on CSF flow, numerical-based methods such as Finite element modeling (FEM) are used which provide excellent description of underlying pathological interaction. A 3D fluid-structure interaction (FSI) model is developed to study the effect of tumor growth on the flow of cerebrospinal fluid in ventricle system. The FSI model encapsulates all the physiological parameters which may be necessary in analyzing intraventricular CSF flow behavior. Findings of the model show that brain tumor affects CSF flow parameters by deforming the walls of ventricles in this case accompanied by a mean rise of 74.23% in CSF flow velocity and considerable deformation on the walls of ventricles.
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