Literature DB >> 25453602

Imaging and finite element analysis: a methodology for non-invasive characterization of aortic tissue.

Vittoria Flamini1, Arthur P Creane2, Christian M Kerskens3, Caitríona Lally4.   

Abstract

Characterization of the mechanical properties of arterial tissues usually involves an invasive procedure requiring tissue removal. In this work we propose a non-invasive method to perform a biomechanical analysis of cardiovascular aortic tissue. This method is based on combining medical imaging and finite element analysis (FEA). Magnetic resonance imaging (MRI) was chosen since it presents relatively low risks for human health. A finite element model was created from the MRI images and loaded with systolic physiological pressures. By means of an optimization routine, the structural material properties were changed until average strains matched those measured by MRI. The method outlined in this work produced an estimate of the in situ properties of cardiovascular tissue based on non-invasive image datasets and finite element analysis.
Copyright © 2014 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Constitutive model; Finite element analysis cardiovascular; Magnetic resonance imaging; Medical imaging

Mesh:

Year:  2014        PMID: 25453602     DOI: 10.1016/j.medengphy.2014.10.006

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  5 in total

1.  Multimodal guided wave inversion for arterial stiffness: methodology and validation in phantoms.

Authors:  Tuhin Roy; Matthew Urban; Yingzheng Xu; James Greenleaf; Murthy N Guddati
Journal:  Phys Med Biol       Date:  2021-05-31       Impact factor: 4.174

2.  Can finite element models of ballooning procedures yield mechanical response of the cardiovascular site to overexpansion?

Authors:  Giorgia M Bosi; Benedetta Biffi; Giovanni Biglino; Valentina Lintas; Rod Jones; Spyros Tzamtzis; Gaetano Burriesci; Francesco Migliavacca; Sachin Khambadkone; Andrew M Taylor; Silvia Schievano
Journal:  J Biomech       Date:  2016-06-23       Impact factor: 2.712

3.  Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling.

Authors:  Federica Cuomo; Sara Roccabianca; Desmond Dillon-Murphy; Nan Xiao; Jay D Humphrey; C Alberto Figueroa
Journal:  PLoS One       Date:  2017-03-02       Impact factor: 3.240

Review 4.  The Challenges of Diagnostic Imaging in the Era of Big Data.

Authors:  Marco Aiello; Carlo Cavaliere; Antonio D'Albore; Marco Salvatore
Journal:  J Clin Med       Date:  2019-03-06       Impact factor: 4.241

5.  Population-specific material properties of the implantation site for transcatheter aortic valve replacement finite element simulations.

Authors:  Giorgia M Bosi; Claudio Capelli; Mun Hong Cheang; Nicola Delahunty; Michael Mullen; Andrew M Taylor; Silvia Schievano
Journal:  J Biomech       Date:  2018-02-20       Impact factor: 2.712

  5 in total

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