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中枢神经系统中的脑脊液流动动力学。

Cerebrospinal fluid flow dynamics in the central nervous system.

机构信息

Laboratory for Product and Process Design (LPPD), Department of Bioengineering, University of Illinois at Chicago, Science and Engineering Offices (SEO), Room 218 (M/C 063), 851 S Morgan St., Chicago, IL 60607-7052, USA.

出版信息

Ann Biomed Eng. 2011 Jan;39(1):484-96. doi: 10.1007/s10439-010-0141-0. Epub 2010 Aug 25.

Abstract

Cine-phase-contrast-MRI was used to measure the three-dimensional cerebrospinal fluid (CSF) flow field inside the central nervous system (CNS) of a healthy subject. Image reconstruction and grid generation tools were then used to develop a three-dimensional fluid-structure interaction model of the CSF flow inside the CNS. The CSF spaces were discretized using the finite-element method and the constitutive equations for fluid and solid motion solved in ADINA-FSI 8.6. Model predictions of CSF velocity magnitude and stroke volume were found to be in excellent agreement with the experimental data. CSF pressure gradients and amplitudes were computed in all regions of the CNS. The computed pressure gradients and amplitudes closely match values obtained clinically. The highest pressure amplitude of 77 Pa was predicted to occur in the lateral ventricles. The pressure gradient between the lateral ventricles and the lumbar region of the spinal canal did not exceed 132 Pa (~1 mmHg) at any time during the cardiac cycle. The pressure wave speed in the spinal canal was predicted and found to agree closely with values previously reported in the literature. Finally, the forward and backward motion of the CSF in the ventricles was visualized, revealing the complex mixing patterns in the CSF spaces. The mathematical model presented in this article is a prerequisite for developing a mechanistic understanding of the relationships among vasculature pulsations, CSF flow, and CSF pressure waves in the CNS.

摘要

电影相位对比磁共振成像被用于测量健康受试者中枢神经系统(CNS)内的三维脑脊液(CSF)流场。然后使用图像重建和网格生成工具开发了 CNS 内 CSF 流动的三维流固耦合模型。CSF 空间使用有限元方法离散化,并用 ADINA-FSI 8.6 求解流体和固体运动的本构方程。CSF 速度幅度和每搏输出量的模型预测与实验数据非常吻合。计算了 CNS 所有区域的 CSF 压力梯度和幅度。计算出的压力梯度和幅度与临床上获得的值非常吻合。预测到的最高压力幅度为 77 Pa,发生在侧脑室。在心脏周期的任何时间,侧脑室和椎管腰部之间的压力梯度都不超过 132 Pa(约 1 mmHg)。椎管内的压力波速度被预测并发现与文献中先前报道的值非常吻合。最后,可视化了脑室中 CSF 的向前和向后运动,揭示了 CSF 空间中的复杂混合模式。本文提出的数学模型是深入了解 CNS 中脉管搏动、CSF 流动和 CSF 压力波之间关系的基础。

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