Publication type: Conference paper
Type of review: Peer review (publication)
Title: A partial domain approach to enable aortic flow simulation without turbulent modeling
Authors: Koltukluoglu, Taha S.
Binter, Christian
Tanner, Christine
Hirsch, Sven
Kozerke, Sebastian
Székely, Gábor
Laadhari, Aymen
DOI: 10.1007/978-3-319-24571-3_65
Proceedings: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 Part II
Pages: 544
Pages to: 551
Conference details: MICCAI, 18th International Conference, Munich, Germany, 5-9 October 2015
Issue Date: 2015
Series: Lecture Notes in Computer Science
Series volume: 9350
Publisher / Ed. Institution: Springer
ISBN: 978-3-319-24570-6
ISSN: 0302-9743
Language: English
Subject (DDC): 610: Medicine and health
Abstract: Analysis 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.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Computational Life Sciences (ICLS)
Appears in collections:Publikationen Life Sciences und Facility Management

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