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dc.contributor.authorKoltukluoglu, Taha S.-
dc.contributor.authorBinter, Christian-
dc.contributor.authorTanner, Christine-
dc.contributor.authorHirsch, Sven-
dc.contributor.authorKozerke, Sebastian-
dc.contributor.authorSzékely, Gábor-
dc.contributor.authorLaadhari, Aymen-
dc.date.accessioned2018-12-06T13:11:53Z-
dc.date.available2018-12-06T13:11:53Z-
dc.date.issued2015-
dc.identifier.isbn978-3-319-24570-6de_CH
dc.identifier.isbn978-3-319-24571-3de_CH
dc.identifier.issn0302-9743de_CH
dc.identifier.issn1611-3349de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/13616-
dc.description.abstractAnalysis of hemodynamics shows great potential to provide indications for the risk of cardiac malformations and is essential for diagnostic purposes in clinical applications. Computational fluid dynamics (CFD) has been established as a valuable tool for the detailed characterization of volumetric blood flow and its effects on the arterial wall. However, studies concentrating on the aortic root have to take the turbulent nature of the flow into account while no satisfactory solution for such simulations exists today. In this paper we propose to combine magnetic resonance imaging (MRI) flow acquisitions, providing excellent data in the turbulent regions while showing only limited reliability in the boundary layer, with CFD simulations which can be used to extrapolate the measured data towards the vessel wall. The solution relies on a partial domain approach, restricting the simulations to the laminar flow domain while using MRI measurements as additional boundary conditions to drive the numerical simulation. In this preliminary work we demonstrate the feasibility of the method on flow phantom measurements while comparing actually measured and simulated flow fields under straight and spiral flow regimes.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofseriesLecture Notes in Computer Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc610: Medizin und Gesundheitde_CH
dc.titleA partial domain approach to enable aortic flow simulation without turbulent modelingde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.1007/978-3-319-24571-3_65de_CH
zhaw.conference.detailsMICCAI, 18th International Conference, Munich, Germany, 5-9 October 2015de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end551de_CH
zhaw.pages.start544de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.series.number9350de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsMedical Image Computing and Computer-Assisted Intervention - MICCAI 2015 Part IIde_CH
zhaw.webfeedBiomedical Simulationde_CH
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Koltukluoglu, T. S., Binter, C., Tanner, C., Hirsch, S., Kozerke, S., Székely, G., & Laadhari, A. (2015). A partial domain approach to enable aortic flow simulation without turbulent modeling [Conference paper]. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 Part II, 544–551. https://doi.org/10.1007/978-3-319-24571-3_65
Koltukluoglu, T.S. et al. (2015) ‘A partial domain approach to enable aortic flow simulation without turbulent modeling’, in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 Part II. Springer, pp. 544–551. Available at: https://doi.org/10.1007/978-3-319-24571-3_65.
T. S. Koltukluoglu et al., “A partial domain approach to enable aortic flow simulation without turbulent modeling,” in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 Part II, 2015, pp. 544–551. doi: 10.1007/978-3-319-24571-3_65.
KOLTUKLUOGLU, Taha S., Christian BINTER, Christine TANNER, Sven HIRSCH, Sebastian KOZERKE, Gábor SZÉKELY und Aymen LAADHARI, 2015. A partial domain approach to enable aortic flow simulation without turbulent modeling. In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 Part II. Conference paper. Springer. 2015. S. 544–551. ISBN 978-3-319-24570-6
Koltukluoglu, Taha S., Christian Binter, Christine Tanner, Sven Hirsch, Sebastian Kozerke, Gábor Székely, and Aymen Laadhari. 2015. “A Partial Domain Approach to Enable Aortic Flow Simulation without Turbulent Modeling.” Conference paper. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 Part II, 544–51. Springer. https://doi.org/10.1007/978-3-319-24571-3_65.
Koltukluoglu, Taha S., et al. “A Partial Domain Approach to Enable Aortic Flow Simulation without Turbulent Modeling.” Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 Part II, Springer, 2015, pp. 544–51, https://doi.org/10.1007/978-3-319-24571-3_65.


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