Literature DB >> 16464454

The influence of vessel wall elasticity and peripheral resistance on the carotid artery flow wave form: a CFD model compared to in vivo ultrasound measurements.

N M Maurits1, G E Loots, A E P Veldman.   

Abstract

The Doppler flow wave form and its derived measures such as the pulsatility index provide clinically important tools for the investigation of arterial disease. The typical shape of Doppler flow wave forms is physiologically known to be largely determined by both peripheral resistance and elastic properties of the arterial wall. In the present study we systematically investigate the influence of both vessel wall elasticity and peripheral resistance on the flow wave form obtained from a CFD-simulation of blood flow in the carotid bifurcation. Numerical results are compared to in vivo ultrasound measurements. The in vivo measurement provides a realistic geometry, local elasticities and an input flow wave form for the numerical experiment. Numerical and experimental results are compared at three different sites in the carotid branches. Peripheral resistance has a profoundly decreasing effect on velocities in the external carotid artery. If elasticity is taken into account, the computed peak systolic velocities are considerably lower and a more realistic smoothing of the flow wave form is found. Together, the results indicate that only if both vessel wall elasticity and positive peripheral resistance are taken into account, experimentally obtained Doppler flow wave forms can be reproduced numerically.

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Year:  2006        PMID: 16464454     DOI: 10.1016/j.jbiomech.2005.12.008

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


  10 in total

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Authors:  Alexey V Kamenskiy; Iraklis I Pipinos; Yuris A Dzenis; Prateek K Gupta; Syed A Jaffar Kazmi; Jason N Mactaggart
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-06-28       Impact factor: 4.733

2.  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

3.  Nonlinear mechanical behavior of the human common, external, and internal carotid arteries in vivo.

Authors:  Alexey V Kamenskiy; Yuris A Dzenis; Jason N MacTaggart; Thomas G Lynch; Syed A Jaffar Kazmi; Iraklis I Pipinos
Journal:  J Surg Res       Date:  2011-10-24       Impact factor: 2.192

4.  Three-dimensional geometry of the human carotid artery.

Authors:  Alexey V Kamenskiy; Jason N MacTaggart; Iraklis I Pipinos; Jai Bikhchandani; Yuris A Dzenis
Journal:  J Biomech Eng       Date:  2012-06       Impact factor: 2.097

5.  In Vivo Intravascular Optical Coherence Tomography (IVOCT) Structural and Blood Flow Imaging Based Mechanical Simulation Analysis of a Blood Vessel.

Authors:  Cuiru Sun; Hang Pan; Junjie Jia; Haofei Liu; Jinlong Chen
Journal:  Cardiovasc Eng Technol       Date:  2022-02-02       Impact factor: 2.495

6.  Patient-specific simulation of coronary artery pressure measurements: an in vivo three-dimensional validation study in humans.

Authors:  Panagiotis K Siogkas; Michail I Papafaklis; Antonis I Sakellarios; Kostas A Stefanou; Christos V Bourantas; Lambros S Athanasiou; Themis P Exarchos; Katerina K Naka; Lampros K Michalis; Oberdan Parodi; Dimitrios I Fotiadis
Journal:  Biomed Res Int       Date:  2015-03-01       Impact factor: 3.411

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.  Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks.

Authors:  Bradley Feiger; John Gounley; Dale Adler; Jane A Leopold; Erik W Draeger; Rafeed Chaudhury; Justin Ryan; Girish Pathangey; Kevin Winarta; David Frakes; Franziska Michor; Amanda Randles
Journal:  Sci Rep       Date:  2020-06-11       Impact factor: 4.379

9.  Numerical modeling in arterial hemodynamics incorporating fluid-structure interaction and microcirculation.

Authors:  Fan He; Lu Hua; Tingting Guo
Journal:  Theor Biol Med Model       Date:  2021-01-19       Impact factor: 2.432

10.  Computational fluid dynamics simulations of contrast agent bolus dispersion in a coronary bifurcation: impact on MRI-based quantification of myocardial perfusion.

Authors:  Regine Schmidt; Dirk Graafen; Stefan Weber; Laura M Schreiber
Journal:  Comput Math Methods Med       Date:  2013-02-28       Impact factor: 2.238

  10 in total

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