Literature DB >> 20627249

MRI-based quantification of outflow boundary conditions for computational fluid dynamics of stenosed human carotid arteries.

Harald C Groen1, Lenette Simons, Quirijn J A van den Bouwhuijsen, E Marielle H Bosboom, Frank J H Gijsen, Alina G van der Giessen, Frans N van de Vosse, Albert Hofman, Antonius F W van der Steen, Jacqueline C M Witteman, Aad van der Lugt, Jolanda J Wentzel.   

Abstract

Accurate assessment of wall shear stress (WSS) is vital for studies on the pathogenesis of atherosclerosis. WSS distributions can be obtained by computational fluid dynamics (CFD) using patient-specific geometries and flow measurements. If patient-specific flow measurements are unavailable, in- and outflow have to be estimated, for instance by using Murray's Law. It is currently unknown to what extent this law holds for carotid bifurcations, especially in cases where stenoses are involved. We performed flow measurements in the carotid bifurcation using phase-contrast MRI in patients with varying degrees of stenosis. An empirical relation between outflow and degree of area stenosis was determined and the outflow measurements were compared to estimations based on Murray's Law. Furthermore, the influence of outflow conditions on the WSS distribution was studied. For bifurcations with an area stenosis smaller than 65%, the outflow ratio of the internal carotid artery (ICA) to the common carotid artery (CCA) was 0.62+/-0.12 while the outflow ratio of the external carotid artery (ECA) was 0.35+/-0.13. If the area stenosis was larger than 65%, the flow to the ICA decreased linearly to zero at 100% area stenosis. The empirical relation fitted the flow data well (R(2)=0.69), whereas Murray's Law overestimated the flow to the ICA substantially for larger stenosis, resulting in an overestimation of the WSS. If patient-specific flow measurements of the carotid bifurcation are unavailable, estimation of the outflow ratio by the presented empirical relation will result in a good approximation of calculated WSS using CFD. 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20627249     DOI: 10.1016/j.jbiomech.2010.04.039

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  13 in total

1.  Modelling and simulation of low-density lipoprotein transport through multi-layered wall of an anatomically realistic carotid artery bifurcation.

Authors:  Saša Kenjereš; Alexander de Loor
Journal:  J R Soc Interface       Date:  2013-11-27       Impact factor: 4.118

Review 2.  Endothelial shear stress and blood viscosity in peripheral arterial disease.

Authors:  Young I Cho; Daniel J Cho; Robert S Rosenson
Journal:  Curr Atheroscler Rep       Date:  2014-04       Impact factor: 5.113

3.  Quantitative analysis of effects of hemodynamic stress on temporal variations of cardiac phases in models of human carotid bulbs.

Authors:  Tatsunori Saho; Hideo Onishi
Journal:  Radiol Phys Technol       Date:  2017-09-08

4.  Flow Patterns in Carotid Webs: A Patient-Based Computational Fluid Dynamics Study.

Authors:  K C J Compagne; K Dilba; E J Postema; A C G M van Es; B J Emmer; C B L M Majoie; W H van Zwam; D W J Dippel; J J Wentzel; A van der Lugt; F J H Gijsen
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-14       Impact factor: 3.825

5.  Computational fluid dynamics in cardiovascular disease.

Authors:  Byoung-Kwon Lee
Journal:  Korean Circ J       Date:  2011-08-31       Impact factor: 3.243

6.  An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations.

Authors:  Elisa Fevola; Francesco Ballarin; Laura Jiménez-Juan; Stephen Fremes; Stefano Grivet-Talocia; Gianluigi Rozza; Piero Triverio
Journal:  Int J Numer Method Biomed Eng       Date:  2021-08-15       Impact factor: 2.648

Review 7.  Computational medical imaging and hemodynamics framework for functional analysis and assessment of cardiovascular structures.

Authors:  Kelvin K L Wong; Defeng Wang; Jacky K L Ko; Jagannath Mazumdar; Thu-Thao Le; Dhanjoo Ghista
Journal:  Biomed Eng Online       Date:  2017-03-21       Impact factor: 2.819

8.  Detecting carotid stenosis from skin vibrations using Laser Doppler Vibrometry - An in vitro proof-of-concept.

Authors:  Viviana Mancini; Daniela Tommasin; Yanlu Li; Jonathan Reeves; Roel Baets; Steve Greenwald; Patrick Segers
Journal:  PLoS One       Date:  2019-06-20       Impact factor: 3.240

9.  On the numerical treatment of viscous and convective effects in relative pressure reconstruction methods.

Authors:  Douglas R Q Pacheco
Journal:  Int J Numer Method Biomed Eng       Date:  2021-12-17       Impact factor: 2.648

10.  Local blood pressure associates with the degree of luminal stenosis in patients with atherosclerotic disease in the middle cerebral artery.

Authors:  Yuanliang Jiang; Wenjia Peng; Zhongzhao Teng; Jonathan H Gillard; Bo Hong; Qi Liu; Jianping Lu
Journal:  Biomed Eng Online       Date:  2016-06-27       Impact factor: 2.819

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