Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain.
Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain.
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DOI：
10.1016/j.compbiomed.2010.12.001
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发表时间：
2011-02
影响因子：
7.7
通讯作者：
Linninger, Andreas A.
中科院分区：
文献类型：
--
作者：
Sweetman, Brian;Xenos, Michalis;Zitella, Laura;Linninger, Andreas A.
关键词：
A three-dimensional model of the human cerebrospinal fluid (CSF) spaces is presented. Patient-specific brain geometries were reconstructed from magnetic resonance images. The model was validated by comparing the predicted flow rates with Cine phase-contrast MRI measurements. The model predicts the complex CSF flow patterns and pressures in the ventricular system and subarachnoid space of a normal subject. The predicted maximum rostral to caudal CSF flow in the pontine cistern precedes the maximum rostral to caudal flow in the ventricles by about 10% of the cardiac cycle. This prediction is in excellent agreement with the subject-specific flow data. The computational results quantify normal intracranial dynamics and provide a basis for analyzing diseased intracranial dynamics.
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