Literature DB >> 29024895

Over length quantification of the multiaxial mechanical properties of the ascending, descending and abdominal aorta using Digital Image Correlation.

Juan A Peña1, Victoria Corral2, Miguel A Martínez3, Estefanía Peña4.   

Abstract

In this paper, we hypothesize that the biaxial mechanical properties of the aorta may be dependent on arterial location. To demonstrate any possible position-related difference, our study analyzed and compared the biaxial mechanical properties of the ascending thoracic aorta, descending thoracic aorta and infrarenal abdominal aorta stemming from the same porcine subjects, and reported values of constitutive parameters for well-known strain energy functions, showing how these mechanical properties are affected by location along the aorta. When comparing ascending thoracic aorta, descending thoracic aorta and infrarenal abdominal aorta, abdominal tissues were found to be stiffer and highly anisotropic. We found that the aorta changed from a more isotropic to a more anisotropic tissue and became progressively less compliant and stiffer with the distance to the heart. We observed substantial differences in the anisotropy parameter between aortic samples where abdominal samples were more anisotropic and nonlinear than the thoracic samples. The phenomenological model was not able to capture the passive biaxial properties of each specific porcine aorta over a wide range of biaxial deformations, showing the best prediction root mean square error ε=0.2621 for ascending thoracic samples and, especially, the worst for the infrarenal abdominal samples ε=0.3780. The micro-structured model with Bingham orientation density function was able to better predict biaxial deformations (ε=0.1372 for ascending thoracic aorta samples). The root mean square error of the micro-structural model and the micro-structured model with von Mises orientation density function were similar for all positions.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ascending thoracic aorta; Biaxial testing; Constitutive modeling; Descending thoracic aorta; Digital Image Correlation; Infrarenal abdominal aorta

Mesh:

Year:  2017        PMID: 29024895     DOI: 10.1016/j.jmbbm.2017.10.007

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  2 in total

1.  Parametric Evaluation of Errors Using Isolated Dots for Movement Measurement by Image Cross-Correlation.

Authors:  Belen Ferrer; David Mas
Journal:  Sensors (Basel)       Date:  2018-02-09       Impact factor: 3.576

Review 2.  Image-Based Finite Element Modeling Approach for Characterizing In Vivo Mechanical Properties of Human Arteries.

Authors:  Liang Wang; Akiko Maehara; Rui Lv; Xiaoya Guo; Jie Zheng; Kisten L Billiar; Gary S Mintz; Dalin Tang
Journal:  J Funct Biomater       Date:  2022-09-11
  2 in total

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