Patient-Based Abdominal Aortic Aneurysm Rupture Risk Prediction with Fluid Structure Interaction Modeling

dc.contributor.authorXenos, M.en
dc.contributor.authorRambhia, S. H.en
dc.contributor.authorAlemu, Y.en
dc.contributor.authorEinav, S.en
dc.contributor.authorLabropoulos, N.en
dc.contributor.authorTassiopoulos, A.en
dc.contributor.authorRicotta, J. J.en
dc.contributor.authorBluestein, D.en
dc.date.accessioned2015-11-24T17:27:31Z
dc.date.available2015-11-24T17:27:31Z
dc.identifier.issn0090-6964-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13396
dc.rightsDefault Licence-
dc.subjectruptured abdominal aortic aneurysmen
dc.subjectaneurysmal strengthen
dc.subjectrupture potential indexen
dc.subjectfluid-structure interactionen
dc.subjectreconstruction of patient based geometryen
dc.subjectfinite-element-analysisen
dc.subjectwall shear-stressen
dc.subjectmechanical-propertiesen
dc.subjectarterial-wallsen
dc.subjectin-vivoen
dc.subjectbiomechanical behavioren
dc.subjectintraluminal thrombusen
dc.subjectnatural-historyen
dc.subjectblood-flowen
dc.subjectsurveillanceen
dc.titlePatient-Based Abdominal Aortic Aneurysm Rupture Risk Prediction with Fluid Structure Interaction Modelingen
heal.abstractElective repair of abdominal aortic aneurysm (AAA) is warranted when the risk of rupture exceeds that of surgery, and is mostly based on the AAA size as a crude rupture predictor. A methodology based on biomechanical considerations for a reliable patient-specific prediction of AAA risk of rupture is presented. Fluid-structure interaction (FSI) simulations conducted in models reconstructed from CT scans of patients who had contained ruptured AAA (rAAA) predicted the rupture location based on mapping of the stresses developing within the aneurysmal wall, additionally showing that a smaller rAAA presented a higher rupture risk. By providing refined means to estimate the risk of rupture, the methodology may have a major impact on diagnostics and treatment of AAA patients.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDOI 10.1007/s10439-010-0094-3-
heal.identifier.secondary<Go to ISI>://000282506400006-
heal.identifier.secondaryhttp://www.springerlink.com/content/m138768244x218j3/fulltext.pdf-
heal.journalNameAnn Biomed Engen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2010-
heal.publisherSpringer Verlag (Germany)en
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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