Cargando…

Computational Fluid Dynamics Simulations of Contrast Agent Bolus Dispersion in a Coronary Bifurcation: Impact on MRI-Based Quantification of Myocardial Perfusion

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 est...

Descripción completa

Detalles Bibliográficos
Autores principales: Schmidt, Regine, Graafen, Dirk, Weber, Stefan, Schreiber, Laura M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600257/
https://www.ncbi.nlm.nih.gov/pubmed/23533541
http://dx.doi.org/10.1155/2013/513187
_version_ 1782475616179716096
author Schmidt, Regine
Graafen, Dirk
Weber, Stefan
Schreiber, Laura M.
author_facet Schmidt, Regine
Graafen, Dirk
Weber, Stefan
Schreiber, Laura M.
author_sort Schmidt, Regine
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3600257
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-36002572013-03-26 Computational Fluid Dynamics Simulations of Contrast Agent Bolus Dispersion in a Coronary Bifurcation: Impact on MRI-Based Quantification of Myocardial Perfusion Schmidt, Regine Graafen, Dirk Weber, Stefan Schreiber, Laura M. Comput Math Methods Med Research Article 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. Hindawi Publishing Corporation 2013 2013-02-28 /pmc/articles/PMC3600257/ /pubmed/23533541 http://dx.doi.org/10.1155/2013/513187 Text en Copyright © 2013 Regine Schmidt et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Schmidt, Regine
Graafen, Dirk
Weber, Stefan
Schreiber, Laura M.
Computational Fluid Dynamics Simulations of Contrast Agent Bolus Dispersion in a Coronary Bifurcation: Impact on MRI-Based Quantification of Myocardial Perfusion
title Computational Fluid Dynamics Simulations of Contrast Agent Bolus Dispersion in a Coronary Bifurcation: Impact on MRI-Based Quantification of Myocardial Perfusion
title_full Computational Fluid Dynamics Simulations of Contrast Agent Bolus Dispersion in a Coronary Bifurcation: Impact on MRI-Based Quantification of Myocardial Perfusion
title_fullStr Computational Fluid Dynamics Simulations of Contrast Agent Bolus Dispersion in a Coronary Bifurcation: Impact on MRI-Based Quantification of Myocardial Perfusion
title_full_unstemmed Computational Fluid Dynamics Simulations of Contrast Agent Bolus Dispersion in a Coronary Bifurcation: Impact on MRI-Based Quantification of Myocardial Perfusion
title_short Computational Fluid Dynamics Simulations of Contrast Agent Bolus Dispersion in a Coronary Bifurcation: Impact on MRI-Based Quantification of Myocardial Perfusion
title_sort computational fluid dynamics simulations of contrast agent bolus dispersion in a coronary bifurcation: impact on mri-based quantification of myocardial perfusion
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600257/
https://www.ncbi.nlm.nih.gov/pubmed/23533541
http://dx.doi.org/10.1155/2013/513187
work_keys_str_mv AT schmidtregine computationalfluiddynamicssimulationsofcontrastagentbolusdispersioninacoronarybifurcationimpactonmribasedquantificationofmyocardialperfusion
AT graafendirk computationalfluiddynamicssimulationsofcontrastagentbolusdispersioninacoronarybifurcationimpactonmribasedquantificationofmyocardialperfusion
AT weberstefan computationalfluiddynamicssimulationsofcontrastagentbolusdispersioninacoronarybifurcationimpactonmribasedquantificationofmyocardialperfusion
AT schreiberlauram computationalfluiddynamicssimulationsofcontrastagentbolusdispersioninacoronarybifurcationimpactonmribasedquantificationofmyocardialperfusion