Document Detail


Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain.
MedLine Citation:
PMID:  21215965     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Brian Sweetman; Michalis Xenos; Laura Zitella; Andreas A Linninger
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2011-01-07
Journal Detail:
Title:  Computers in biology and medicine     Volume:  41     ISSN:  1879-0534     ISO Abbreviation:  Comput. Biol. Med.     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-01-24     Completed Date:  2011-05-02     Revised Date:  2012-02-02    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  67-75     Citation Subset:  IM    
Copyright Information:
Published by Elsevier Ltd.
Affiliation:
Laboratory for Product and Process Design, Department of Chemical and Bioengineering, University of Illinois at Chicago, IL 60607-7052, USA.
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MeSH Terms
Descriptor/Qualifier:
Adult
Brain / anatomy & histology,  physiology*
Cerebral Ventricles / anatomy & histology,  physiology
Cerebrospinal Fluid / physiology*
Computational Biology
Humans
Hydrocephalus / physiopathology
Imaging, Three-Dimensional / methods*
Intracranial Pressure / physiology
Magnetic Resonance Imaging, Cine
Middle Aged
Models, Biological*
Reproducibility of Results
Rheology / methods
Subarachnoid Space / anatomy & histology,  physiology
Grant Support
ID/Acronym/Agency:
5R21EB004956/EB/NIBIB NIH HHS; R21 EB004956-02/EB/NIBIB NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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