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https://olympias.lib.uoi.gr/jspui/handle/123456789/12501Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sweetman, B. | en |
| dc.contributor.author | Xenos, M. | en |
| dc.contributor.author | Zitella, L. | en |
| dc.contributor.author | Linninger, A. A. | en |
| dc.date.accessioned | 2015-11-24T17:21:41Z | - |
| dc.date.available | 2015-11-24T17:21:41Z | - |
| dc.identifier.issn | 0010-4825 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/12501 | - |
| dc.rights | Default Licence | - |
| dc.subject | intracranial dynamics | en |
| dc.subject | cerebrospinal fluid | en |
| dc.subject | computational fluid dynamics | en |
| dc.subject | three-dimensional modeling | en |
| dc.subject | fluid-structure interaction | en |
| dc.subject | magnetic-resonance elastography | en |
| dc.subject | blood-flow | en |
| dc.subject | surface-area | en |
| dc.subject | dynamics | en |
| dc.subject | hydrocephalus | en |
| dc.subject | pressure | en |
| dc.subject | aqueduct | en |
| dc.subject | arteries | en |
| dc.title | Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.primary | DOI 10.1016/j.compbiomed.2010.12.001 | - |
| heal.identifier.secondary | <Go to ISI>://000287621800001 | - |
| heal.identifier.secondary | http://ac.els-cdn.com/S0010482510001708/1-s2.0-S0010482510001708-main.pdf?_tid=d4bd3902baeab6a9521e6803ac0a4171&acdnat=1339396069_8951b35c6490f95b2452d95723473a00 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικών | el |
| heal.publicationDate | 2011 | - |
| heal.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. Published by Elsevier Ltd. | en |
| heal.publisher | Elsevier | en |
| heal.journalName | Comput Biol Med | en |
| heal.journalType | peer reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Sweetman-2011-Three-dimensional co.pdf | 997.89 kB | Adobe PDF | View/Open Request a copy |
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