2012
DOI: 10.1002/cnm.2533
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An improved baseline model for a human arterial network to study the impact of aneurysms on pressure‐flow waveforms

Abstract: In this study, an improved and robust one-dimensional human arterial network model is presented. The one-dimensional blood flow equations are solved using the Taylor-locally conservative Galerkin finite element method. The model improvements are carried out by adopting parts of the physical models from different authors to establish an accurate baseline model. The predicted pressure-flow waveforms at various monitoring positions are compared against in vivo measurements from published works. The results obtain… Show more

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Cited by 33 publications
(84 citation statements)
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References 60 publications
(184 reference statements)
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“…Other dependencies [2,53,75,82,100] provide good results for arteries. The most advanced in silico studies of elastic vascular response use complex fiber reinforced material models [61,90].…”
Section: Elastic Models Of Vessel Wallmentioning
confidence: 98%
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“…Other dependencies [2,53,75,82,100] provide good results for arteries. The most advanced in silico studies of elastic vascular response use complex fiber reinforced material models [61,90].…”
Section: Elastic Models Of Vessel Wallmentioning
confidence: 98%
“…In a simplified form, such models were used for studying the impacts of endovascular implants or atherosclerotic plaques to the p(A) dependence [142]. Aneurysm model was developed in [82] by parameterising pressure-to-area function along the length of the diseased vessel. Other generalizations of the elastic vessel wall model are visco-elastic wall models [2,16,25,102].…”
Section: Elastic Models Of Vessel Wallmentioning
confidence: 99%
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“…Since the width of the pressure wave produced by the heart is much greater than any vessel diameter, the one-dimensional assumption is valid for studying systemic circulation (Avolio, 1980;Alastruey et al, 2007;Steele et al, 2007;Mynard and Nithiarasu, 2008;Raines et al, 1974;Wan et al, 2002;Low et al, 2012;Stergiopulos et al, 1992;Chen et al, 2013;Blanco et al, 2012;Kufahl and Clark, 1985;Urquiza et al, 2006;Franke et al, 2002;Watanabe et al, 2013). Some of the recent publications in this area adopted Locally Conservative Galerkin (LCG) technique, which was developed in (Nithiarasu, 2004, Thomas et al, 2008 using an explicit Taylor-Galerkin method along with the characteristic variables.…”
Section: Introductionmentioning
confidence: 99%