Literature DB >> 18031750

Experimental validation of a time-domain-based wave propagation model of blood flow in viscoelastic vessels.

David Bessems1, Christina G Giannopapa, Marcel C M Rutten, Frans N van de Vosse.   

Abstract

Time-domain-based one-dimensional wave propagation models of the arterial system are preferable over one-dimensional wave propagation models in the frequency domain since the latter neglect the non-linear convection forces present in the physiological situation, especially when the vessel is tapered. Moreover, one-dimensional wave propagation models of the arterial system can be used to provide boundary conditions for fully three-dimensional fluid-structure interaction computations that are usually defined in the time domain. In this study, a time-domain-based one-dimensional wave propagation model in a cross-sectional area, flow and pressure (A,q,p)-formulation is developed. Using this formulation, a constitutive law that includes viscoelasticity based on the mechanical behaviour of a Kelvin body, is introduced. The resulting pressure and flow waves travelling through a straight and tapered vessel are compared to experimental data obtained from measurements in an in vitro setup. The model presented shows to be well suited to predict wave propagation through these straight and tapered vessels with viscoelastic wall properties and hereto can serve as a time-domain-based method to model wave propagation in the human arterial system.

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Year:  2007        PMID: 18031750     DOI: 10.1016/j.jbiomech.2007.09.014

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


  14 in total

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Journal:  Prog Biophys Mol Biol       Date:  2010-10-30       Impact factor: 3.667

2.  Numerical Method of Characteristics for One-Dimensional Blood Flow.

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Journal:  J Comput Phys       Date:  2015-08-01       Impact factor: 3.553

3.  Wave reflections in the pulmonary arteries analysed with the reservoir-wave model.

Authors:  J Christopher Bouwmeester; Israel Belenkie; Nigel G Shrive; John V Tyberg
Journal:  J Physiol       Date:  2014-04-22       Impact factor: 5.182

4.  Uncertainty Quantification in a Patient-Specific One-Dimensional Arterial Network Model: EnKF-Based Inflow Estimator.

Authors:  Andrea Arnold; Christina Battista; Daniel Bia; Yanina Zócalo German; Ricardo L Armentano; Hien Tran; Mette S Olufsen
Journal:  J Verif Valid Uncertain Quantif       Date:  2017-02-22

Review 5.  Review of zero-D and 1-D models of blood flow in the cardiovascular system.

Authors:  Yubing Shi; Patricia Lawford; Rodney Hose
Journal:  Biomed Eng Online       Date:  2011-04-26       Impact factor: 2.819

6.  Numerical assessment of time-domain methods for the estimation of local arterial pulse wave speed.

Authors:  Jordi Alastruey
Journal:  J Biomech       Date:  2011-01-05       Impact factor: 2.712

7.  Pulse wave propagation in a model human arterial network: Assessment of 1-D visco-elastic simulations against in vitro measurements.

Authors:  Jordi Alastruey; Ashraf W Khir; Koen S Matthys; Patrick Segers; Spencer J Sherwin; Pascal R Verdonck; Kim H Parker; Joaquim Peiró
Journal:  J Biomech       Date:  2011-07-02       Impact factor: 2.712

8.  Patient-specific computational modeling of upper extremity arteriovenous fistula creation: its feasibility to support clinical decision-making.

Authors:  Aron S Bode; Wouter Huberts; E Marielle H Bosboom; Wilco Kroon; Wim P M van der Linden; R Nils Planken; Frans N van de Vosse; Jan H M Tordoir
Journal:  PLoS One       Date:  2012-04-04       Impact factor: 3.240

9.  A database of virtual healthy subjects to assess the accuracy of foot-to-foot pulse wave velocities for estimation of aortic stiffness.

Authors:  Marie Willemet; Phil Chowienczyk; Jordi Alastruey
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-06-08       Impact factor: 4.733

10.  Novel wave intensity analysis of arterial pulse wave propagation accounting for peripheral reflections.

Authors:  Jordi Alastruey; Anthony A E Hunt; Peter D Weinberg
Journal:  Int J Numer Method Biomed Eng       Date:  2013-10-16       Impact factor: 2.747

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