Comput. Biol. Med. - Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain.

Tópicos

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Resumo

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.

Resumo Limpo

threedimension model human cerebrospin fluid csf space present patientspecif brain geometri reconstruct magnet reson imag model valid compar predict flow rate cine phasecontrast mri measur model predict complex csf flow pattern pressur ventricular system subarachnoid space normal subject predict maximum rostral caudal csf flow pontin cistern preced maximum rostral caudal flow ventricl cardiac cycl predict excel agreement subjectspecif flow data comput result quantifi normal intracrani dynam provid basi analyz diseas intracrani dynam

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