A partial domain approach to enable aortic flow simulation without turbulent modeling

Taha S. Koltukluoglu, Christian Binter, Christine Tanner, Sven Hirsch, Sebastian Kozerke, Gábor Székely, Aymen Laadhari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageBritish English
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings
EditorsJoachim Hornegger, Alejandro F. Frangi, William M. Wells, Alejandro F. Frangi, Nassir Navab, Joachim Hornegger, Nassir Navab, William M. Wells, William M. Wells, Alejandro F. Frangi, Joachim Hornegger, Nassir Navab
PublisherSpringer Verlag
Pages544-551
Number of pages8
ISBN (Print)9783319245706, 9783319245706, 9783319245706
DOIs
StatePublished - 2015
Event18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015 - Munich, Germany
Duration: 5 Oct 20159 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9350
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015
Country/TerritoryGermany
CityMunich
Period5/10/159/10/15

Fingerprint

Dive into the research topics of 'A partial domain approach to enable aortic flow simulation without turbulent modeling'. Together they form a unique fingerprint.

Cite this