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  • Title: Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain.
    Author: Sweetman B, Xenos M, Zitella L, Linninger AA.
    Journal: Comput Biol Med; 2011 Feb; 41(2):67-75. PubMed ID: 21215965.
    Abstract:
    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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