Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 41, Issue 2, Pages 67-75Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2010.12.001
Keywords
Intracranial dynamics; Cerebrospinal fluid; Computational fluid dynamics; Three-dimensional modeling; Fluid-structure interaction
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Funding
- NIH [NIH-5R21EB004956]
- Stars Kids Foundation
- NSF [EEC 0754590]
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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. Published by Elsevier Ltd.
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