dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorDalhousie University
dc.contributorHospital Israelita Albert Einstein
dc.date.accessioned2019-10-06T15:39:15Z
dc.date.accessioned2022-12-19T18:32:09Z
dc.date.available2019-10-06T15:39:15Z
dc.date.available2022-12-19T18:32:09Z
dc.date.created2019-10-06T15:39:15Z
dc.date.issued2017-01-01
dc.identifierInternational Symposium on Advances in Computational Heat Transfer, p. 351-366.
dc.identifier2578-5486
dc.identifierhttp://hdl.handle.net/11449/187535
dc.identifier2-s2.0-85064035358
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5368573
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.
dc.languageeng
dc.relationInternational Symposium on Advances in Computational Heat Transfer
dc.rightsAcesso aberto
dc.sourceScopus
dc.titleRupture risk prediction of intracranial aneurysms using open source CFD software
dc.typeActas de congresos


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