Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain

dc.contributor.authorSweetman, B.en
dc.contributor.authorXenos, M.en
dc.contributor.authorZitella, L.en
dc.contributor.authorLinninger, A. A.en
dc.date.accessioned2015-11-24T17:21:41Z
dc.date.available2015-11-24T17:21:41Z
dc.identifier.issn0010-4825-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12501
dc.rightsDefault Licence-
dc.subjectintracranial dynamicsen
dc.subjectcerebrospinal fluiden
dc.subjectcomputational fluid dynamicsen
dc.subjectthree-dimensional modelingen
dc.subjectfluid-structure interactionen
dc.subjectmagnetic-resonance elastographyen
dc.subjectblood-flowen
dc.subjectsurface-areaen
dc.subjectdynamicsen
dc.subjecthydrocephalusen
dc.subjectpressureen
dc.subjectaqueducten
dc.subjectarteriesen
dc.titleThree-dimensional computational prediction of cerebrospinal fluid flow in the human brainen
heal.abstractA 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.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDOI 10.1016/j.compbiomed.2010.12.001-
heal.identifier.secondary<Go to ISI>://000287621800001-
heal.identifier.secondaryhttp://ac.els-cdn.com/S0010482510001708/1-s2.0-S0010482510001708-main.pdf?_tid=d4bd3902baeab6a9521e6803ac0a4171&acdnat=1339396069_8951b35c6490f95b2452d95723473a00-
heal.journalNameComput Biol Meden
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2011-
heal.publisherElsevieren
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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