A two-system, single-analysis, fluid—structure interaction technique for modelling abdominal aortic aneurysms

Kelly, Sinead; O'Rourke, Malachy

doi:10.1243/09544119jeim725

Cited by 17 publications

(12 citation statements)

References 37 publications

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“…The topics investigated range from heart 2 J. Lantz et al valves [Cheng et al, 2003[Cheng et al, , 2004Dahl et al, 2010;Simon et al, 2010], to estimation of wall stresses and strains in either healthy subjects [Gao et al, 2006b;McGregor et al, 2007] or in pathological cases such as aneurysms [Isaksen et al, 2008;Li and Kleinstreuer, 2005a,b;Scotti et al, 2008;Kelly and O'Rourke, 2010;Xenos et al, 2010;Tan et al, 2009]. There have also been attempts to estimate the WSS on the arterial surface [Jin et al, 2003;Gao et al, 2006a;Shahcheraghi et al, 2002].…”

Section: Introductionmentioning

confidence: 99%

Wall Shear Stress in a Subject Specific Human Aorta — Influence of Fluid-Structure Interaction

Lantz

Renner

Karlsson

2011

Int. J. Appl. Mechanics

138

106

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shear stress (WSS) has been correlated to the development of atherosclerosis in arteries. As WSS depends on the blood flow dynamics, it is sensitive to pulsatile effects and local changes in geometry. The aim of this study is therefore to investigate if the effect of wall motion changes the WSS or if a rigid wall assumption is sufficient. Magnetic resonance imaging (MRI) was used to acquire subject specific geometry and flow rates in a human aorta, which were used as inputs in numerical models. Both rigid wall models and fluid-structure interaction (FSI) models were considered, and used to calculate the WSS on the aortic wall. A physiological range of different wall stiffnesses in the FSI simulations was used in order to investigate its effect on the flow dynamics. MRI measurements of velocity in the descending aorta were used as validation of the numerical models, and good agreement was achieved. It was found that the influence of wall motion was low on time-averaged WSS and oscillating shear index, but when regarding instantaneous WSS values the effect from the wall motion was clearly visible. Therefore, if instantaneous WSS is to be investigated, a FSI simulation should be considered.

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Section: Introductionmentioning

confidence: 99%

Wall Shear Stress in a Subject Specific Human Aorta — Influence of Fluid-Structure Interaction

Lantz

Renner

Karlsson

2011

Int. J. Appl. Mechanics

138

106

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“…More recently, fully-coupled FSI simulations using patient-specific geometries and anisotropic finite-strain constitutive relations have been reported in healthy and diseased arteries, aiming at computing biomechanical properties, such as fluid velocity and pressure, and wall displacement and stress [21,23,24]. Scotti et al have extracted temporal wall displacement variation using dynamic FSI; however, no spatial information was obtained and therefore no PWV measurements were extracted [25].…”

Section: Introductionmentioning

confidence: 99%

Pulse-Wave Propagation in Straight-Geometry Vessels for Stiffness Estimation: Theory, Simulations, Phantoms and In Vitro Findings

Shahmirzadi

Konofagou

2012

Journal of Biomechanical Engineering

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Pulse wave imaging (PWI) is an ultrasound-based method for noninvasive characterization of arterial stiffness based on pulse wave propagation. Reliable numerical models of pulse wave propagation in normal and pathological aortas could serve as powerful tools for local pulse wave analysis and a guideline for PWI measurements in vivo. The objectives of this paper are to (1) apply a fluidstructure interaction (FSI) simulation of a straight-geometry aorta to confirm the Moens-Korteweg relationship between the pulse wave velocity (PWV) and the wall modulus, and (2) validate the simulation findings against phantom and in vitro results. PWI depicted and tracked the pulse wave propagation along the abdominal wall of canine aorta in vitro in sequential Radio-Frequency (RF) ultrasound frames and estimates the PWV in the imaged wall. The same system was also used to image multiple polyacrylamide phantoms, mimicking the canine measurements as well as modeling softer and stiffer walls. Finally, the model parameters from the canine and phantom studies were used to perform 3D two-way coupled FSI simulations of pulse wave propagation and estimate the PWV. The simulation results were found to correlate well with the corresponding Moens-Korteweg equation. A high linear correlation was also established between PWV 2 and E measurements using the combined simulation and experimental findings (R 2 ¼ 0.98) confirming the relationship established by the aforementioned equation.

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“…Finite-element methods (FEM) used to model cardiovascular biomechanics primarily rely on solid-state (SS) modeling of blood vessels experiencing static or pulsatile internal pressure replicating the hemodynamic effects [57, 58]. More recently, fully-coupled fluid-structure interaction (FSI) simulations using patient-specific geometries and anisotropic finite-strain constitutive relations have been reported in healthy and diseased arteries [57, 59–62], aiming at computing parameters such as fluid velocity and pressure as well as wall strain and stress [63, 64]. Scotti et al have extracted temporal information on the arterial wall displacement during dynamic FSI; however, no spatial information was obtained and thus no PWV measurements could be performed [65].…”

Section: Introductionmentioning

confidence: 99%

Detection of aortic wall inclusions using regional pulse wave propagation and velocity in silico

Shahmirzadi¹,

Konofagou²

2012

ARTRES

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Monitoring of the regional stiffening of the arterial wall may prove important in the diagnosis of various vascular pathologies. The pulse wave velocity (PWV) along the aortic wall has been shown to be dependent on the wall stiffness and has played a fundamental role in a range of diagnostic methods. Conventional clinical methods involve a global examination of the pulse traveling between two remote sites, e.g. femoral and carotid arteries, to provide an average PWV estimate. However, the majority of vascular diseases entail regional vascular changes and therefore may not be detected by a global PWV estimate. In this paper, a fluid-structure interaction study of straight-geometry aortas was carried out to examine the effects of regional stiffness changes on PWV. Five homogeneous aortas with increasing wall stiffness as well as two aortas with soft and hard inclusions were considered. In each case, spatio-temporal maps of the wall motion were used to analyze the regional pulse wave propagation. On the homogeneous aortas, increasing PWVs were found to increase with the wall moduli (R2 = 0.9988), indicating the reliability of the model to accurately represent the wave propagation. On the inhomogeneous aortas, formation of reflected and standing waves was observed at the site of the hard and soft inclusions, respectively. Neither the hard nor the soft inclusion had a significant effect on the velocity of the traveling pulse beyond the inclusion site, which supported the hypothesis that a global measurement of the average PWV could fail to detect regional abnormalities.

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A two-system, single-analysis, fluid—structure interaction technique for modelling abdominal aortic aneurysms

Cited by 17 publications

References 37 publications

Wall Shear Stress in a Subject Specific Human Aorta — Influence of Fluid-Structure Interaction

Wall Shear Stress in a Subject Specific Human Aorta — Influence of Fluid-Structure Interaction

Pulse-Wave Propagation in Straight-Geometry Vessels for Stiffness Estimation: Theory, Simulations, Phantoms and In Vitro Findings

Detection of aortic wall inclusions using regional pulse wave propagation and velocity in silico

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