Literature DB >> 31911051

Computational hemodynamics in arteries with the one-dimensional augmented fluid-structure interaction system: viscoelastic parameters estimation and comparison with in-vivo data.

Giulia Bertaglia1, Adrián Navas-Montilla2, Alessandro Valiani3, Manuel Ignacio Monge García4, Javier Murillo5, Valerio Caleffi6.   

Abstract

Mathematical models are widely recognized as a valuable tool for cardiovascular diagnosis and the study of circulatory diseases, especially to obtain data that require otherwise invasive measurements. To correctly simulate body hemodynamics, the viscoelastic properties of vessels walls are a key aspect to be taken into account as they play an essential role in cardiovascular behavior. The present work aims to apply the augmented fluid-structure interaction system of blood flow to real case studies to assess the validity of the model as a valuable resource to improve cardiovascular diagnostics and the treatment of pathologies. Main contributions of the paper include the evaluation of viscoelastic tube laws, estimation of viscoelastic parameters and comparison of models with literature results and in-vivo experiments. The ability of the model to correctly simulate pulse waveforms in single arterial segments is verified using literature benchmark test cases, designed taking into account a simple elastic behavior of the wall in the upper thoracic aorta and in the common carotid artery. Furthermore, in-vivo pressure waveforms, extracted from tonometric measurements performed on four human common carotid arteries and two common femoral arteries, are compared to numerical solutions. It is highlighted that the viscoelastic damping effect of arterial walls is required to avoid an overestimation of pressure peaks. Finally, an effective procedure to estimate the viscoelastic parameters of the model is herein proposed, which returns hysteresis curves of the common carotid arteries dissipating energy fractions in line with values calculated from literature hysteresis loops in the same vessel.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Arterial hemodynamics; Blood flow; Fluid-structure interaction; One-dimensional models; Viscoelastic effects

Mesh:

Year:  2019        PMID: 31911051     DOI: 10.1016/j.jbiomech.2019.109595

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


  3 in total

1.  Automated generation of 0D and 1D reduced-order models of patient-specific blood flow.

Authors:  Martin R Pfaller; Jonathan Pham; Aekaansh Verma; Luca Pegolotti; Nathan M Wilson; David W Parker; Weiguang Yang; Alison L Marsden
Journal:  Int J Numer Method Biomed Eng       Date:  2022-08-14       Impact factor: 2.648

2.  On the Periodicity of Cardiovascular Fluid Dynamics Simulations.

Authors:  Martin R Pfaller; Jonathan Pham; Nathan M Wilson; David W Parker; Alison L Marsden
Journal:  Ann Biomed Eng       Date:  2021-06-24       Impact factor: 3.934

3.  Determining Clinically-Viable Biomarkers for Ischaemic Stroke Through a Mechanistic and Machine Learning Approach.

Authors:  Ivan Benemerito; Ana Paula Narata; Andrew Narracott; Alberto Marzo
Journal:  Ann Biomed Eng       Date:  2022-04-01       Impact factor: 4.219

  3 in total

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