Development of a Computational Fluid Dynamics (CFD)-Model of the Arterial Epicardial Vasculature

Johannes Martens, Sabine Panzer, Jeroen P. H. M. van den Wijngaard, Maria Siebes, Laura M. Schreiber

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Motivation of the project is the analysis of systematic errors in contrast-enhanced cardiac perfusion imaging by CFD simulations of contrast agent transport in the arterial epicardial vasculature. This requires the realistic modeling of volume blood flow (VBF) in the coronary arteries to provide a physiologically relevant computational framework for the transport simulations. For this purpose, 3D-models of the left and right coronary trees are extracted from high-resolution cardiovascular cryomicrotome imaging data and meshed with computational grids. A dedicated model integrating characteristics of coronary blood flow is used to generate boundary conditions (BCs). Subsequently, VBF is analyzed in left and right ventricular myocardial regions (VBF m ) and in dependence of the vessel sizes (VBF v ). Regarding the distribution of VBF m in the myocardial segments, good agreement with literature values is found. Partial compliance of the findings of the VBF v -analysis with results from other groups is promising, however, indicates room for improvement.
Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings
EditorsYves Coudière, Nejib Zemzemi, Valéry Ozenne, Edward Vigmond
PublisherSpringer Verlag
Number of pages11
Volume11504 LNCS
ISBN (Print)9783030219482
Publication statusPublished - 2019
Event10th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2019 - Bordeaux, France
Duration: 6 Jun 20198 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11504 LNCS


Conference10th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2019


  • Computational fluid dynamics
  • Epicardial blood flow
  • In-silico modeling

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