Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7172
Authors: Schmidt, Regine
Graafen, Dirk
Weber, Stefan
Schreiber, Laura M.
Title: Computational fluid dynamics simulations of contrast agent bolus dispersion in a coronary bifurcation : impact on MRI-Based quantification of myocardial perfusion
Online publication date: 20-Jun-2022
Year of first publication: 2013
Language: english
Abstract: Contrast-enhanced first-pass magnetic resonance imaging (MRI) in combination with a tracer kinetic model, for example, MMID4, can be used to determine myocardial blood flow (MBF) and myocardial perfusion reserve (MPR). Typically, the arterial input function (AIF) required for this methodology is estimated from the left ventricle (LV). Dispersion of the contrast agent bolus might occur between the LV and the myocardial tissue. Negligence of bolus dispersion could cause an error in MBF determination. The aim of this study was to investigate the influence of bolus dispersion in a simplified coronary bifurcation geometry including one healthy and one stenotic branch on the quantification of MBF and MPR. Computational fluid dynamics (CFD) simulations were combined with MMID4. Different inlet boundary conditions describing pulsatile and constant flows for rest and hyperemia and differing outflow conditions have been investigated. In the bifurcation region, the increase of the dispersion was smaller than inside the straight vessels. A systematic underestimation of MBF values up to -16.1% for pulsatile flow and an overestimation of MPR up to 7.5% were found. It was shown that, under the conditions considered in this study, bolus dispersion can significantly influence the results of quantitative myocardial MR-perfusion measurements.
DDC: 500 Naturwissenschaften
500 Natural sciences and mathematics
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 04 Medizin
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-7172
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/3.0/
Journal: Computational and mathematical methods in medicine
14
Pages or article number: 513187
Publisher: Hindawi
Publisher place: New York, NY
Issue date: 2013
ISSN: 1748-6718
Publisher URL: http://dx.doi.org/10.1155/2013/513187
Publisher DOI: 10.1155/2013/513187
Appears in collections:DFG-OA-Publizieren (2012 - 2017)

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