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Rupture risk prediction of intracranial aneurysms using open source CFD software

dc.contributor.authorOliveira, I. L. [UNESP]
dc.contributor.authorDias, A. D.S.L. [UNESP]
dc.contributor.authorMilitzer, J.
dc.contributor.authorDel Rio, E. R.V. [UNESP]
dc.contributor.authorGasche, J. L. [UNESP]
dc.contributor.authorBaccin, C. E.
dc.contributor.authorShankar, J.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionDalhousie University
dc.contributor.institutionHospital Israelita Albert Einstein
dc.date.accessioned2019-10-06T15:39:15Z
dc.date.available2019-10-06T15:39:15Z
dc.date.issued2017-01-01
dc.description.abstractComputational Fluid Dynamics (CFD) is an important tool for blood flow simulation in intracranial aneurysms. The objective of this study is to describe CFD patterns in intracranial aneurysms based on simulations in order to interfere with clinical decisions to treat patients with this disease. We randomly selected 8 intracranial aneurysms with good quality CT angiogram (CTA). The open-source VMTK®(Vascular Modeling Toolkit) software was used to create surface models and CFD meshes. The open-source OpenFOAM®CFD solver was used to perform the CFD simulations and ParaView®was used for post-processing. Typical parameters associated with aneurysm rupture, such as wall shear stress (WSS), oscillatory shear index (OSI) and WSS gradient, were evaluated to determine if they may help predict aneurysm rupture probability. We have found regions where the WSS remained low during the entire cardiac cycle combined with high values of OSI and regions where the WSS remained high combined high WSS gradient. We associate these regions with high risk of rupture.en
dc.description.affiliationSão Paulo State University (Unesp) School of Engineering
dc.description.affiliationDepartment of Mechanical Engineering Dalhousie University
dc.description.affiliationInterventional Neuroradiology Hospital Israelita Albert Einstein
dc.description.affiliationDepartment of Radiology Dalhousie University
dc.description.affiliationUnespSão Paulo State University (Unesp) School of Engineering
dc.description.sponsorshipNational Cancer Coalition
dc.format.extent351-366
dc.identifier.citationInternational Symposium on Advances in Computational Heat Transfer, p. 351-366.
dc.identifier.issn2578-5486
dc.identifier.scopus2-s2.0-85064035358
dc.identifier.urihttp://hdl.handle.net/11449/187535
dc.language.isoeng
dc.relation.ispartofInternational Symposium on Advances in Computational Heat Transfer
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.titleRupture risk prediction of intracranial aneurysms using open source CFD softwareen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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