2000
DOI: 10.1016/s0021-9290(00)00043-9
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Blood flow and vessel mechanics in a physiologically realistic model of a human carotid arterial bifurcation

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Cited by 260 publications
(178 citation statements)
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“…For example, a number of recent studies have demonstrated the ability to computationally model pulsatile hemodynamics in physiologically faithful arterial geometries derived from angiographic imaging (12)(13)(14)(15)(16). To date, however, only two groups have attempted to correlate computationally reconstructed hemodynamics against vascular disease on a subject-specific basis, both in the coronary arteries.…”
mentioning
confidence: 99%
“…For example, a number of recent studies have demonstrated the ability to computationally model pulsatile hemodynamics in physiologically faithful arterial geometries derived from angiographic imaging (12)(13)(14)(15)(16). To date, however, only two groups have attempted to correlate computationally reconstructed hemodynamics against vascular disease on a subject-specific basis, both in the coronary arteries.…”
mentioning
confidence: 99%
“…Zhao et al utilized magnetic resonance images of the carotid artery bifurcation to create a computational model with a true vascular anatomy [6]. To perform analyses linking the hemodynamic and mechanical aspects on the arterial wall, the fluid dynamics code CFX4 and the structural mechanics code ABAQUS were employed.…”
Section: Discussionmentioning
confidence: 99%
“…The simulations of blood flow are concentrated on arteries with bifurcations, branches and bends, in which there is an increased incidence of disease such as arteriosclerosis, aneurysms and thrombosis [2,3,4]. There have been more studies of the carotid, abdominal aorta and anastomosis of vascular grafts in the femoral artery [1,4,5,6].…”
Section: Introductionmentioning
confidence: 99%
“…The subject is part of the data-set analyzed in Morbiducci et al (2011a). models: reconstructed vessel geometry (Sankaran & Marsden 2011;Sankaran et al 2015Sankaran et al , 2016, input and output BCs (Sankaran & Marsden 2011;Morbiducci et al 2013;Tiago et al 2014;Valen-Sendstad et al 2015;Schiavazzi et al 2016;Tran et al 2017), vessel distensibility and motion (Jin et al 2003;Zhao et al 2000;Eck et al 2016;Javadzadegan et al 2016) and rheological properties of blood (Lee & Steinman 2007;Morbiducci et al 2011b). In a recent study, the Authors reported a numerical experiment in which different possible strategies of applying PC-MRI measured flow data as BCs in computational hemodynamic models of healthy human aorta were implemented (Morbiducci et al 2013).…”
Section: Pc-mri Datamentioning
confidence: 99%