Literature DB >> 25931035

A method for incorporating three-dimensional residual stretches/stresses into patient-specific finite element simulations of arteries.

David M Pierce1, Thomas E Fastl2, Borja Rodriguez-Vila3, Peter Verbrugghe4, Inge Fourneau4, Geert Maleux4, Paul Herijgers4, Enrique J Gomez3, Gerhard A Holzapfel5.   

Abstract

The existence of residual stresses in human arteries has long been shown experimentally. Researchers have also demonstrated that residual stresses have a significant effect on the distribution of physiological stresses within arterial tissues, and hence on their development, e.g., stress-modulated remodeling. Through progress in medical imaging, image analysis and finite element (FE) meshing tools it is now possible to construct in vivo patient-specific geometries and thus to study specific, clinically relevant problems in arterial mechanics via FE simulations. Classical continuum mechanics and FE methods assume that constitutive models and the corresponding simulations start from unloaded, stress-free reference configurations while the boundary-value problem of interest represents a loaded geometry and includes residual stresses. We present a pragmatic methodology to simultaneously account for both (i) the three-dimensional (3-D) residual stress distributions in the arterial tissue layers, and (ii) the equilibrium of the in vivo patient-specific geometry with the known boundary conditions. We base our methodology on analytically determined residual stress distributions (Holzapfel and Ogden, 2010, J. R. Soc. Interface 7, 787-799) and calibrate it using data on residual deformations (Holzapfel et al., 2007, Ann. Biomed. Eng. 35, 530-545). We demonstrate our methodology on three patient-specific FE simulations calibrated using experimental data. All data employed here are generated from human tissues - both the aorta and thrombus, and their respective layers - including the geometries determined from magnetic resonance images, and material properties and 3-D residual stretches determined from mechanical experiments. We study the effect of 3-D residual stresses on the distribution of physiological stresses in the aortic layers (intima, media, adventitia) and the layers of the intraluminal thrombus (luminal, medial, abluminal) by comparing three types of FE simulations: (i) conventional calculations; (ii) calculations accounting only for prestresses; (iii) calculations including both 3-D residual stresses and prestresses. Our results show that including residual stresses in patient-specific simulations of arterial tissues significantly impacts both the global (organ-level) deformations and the stress distributions within the arterial tissue (and its layers). Our method produces circumferential Cauchy stress distributions that are more uniform through the tissue thickness (i.e., smaller stress gradients in the local radial directions) compared to both the conventional and prestressing calculations. Such methods, combined with appropriate experimental data, aim at increasing the accuracy of classical FE analyses for patient-specific studies in computational biomechanics and may lead to increased clinical application of simulation tools.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aneurysm; Arterial wall mechanics; Artery; Artery layer; Patient-specific modeling; Residual stress; Residual stretch

Mesh:

Year:  2015        PMID: 25931035     DOI: 10.1016/j.jmbbm.2015.03.024

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


  15 in total

1.  Microstructure and mechanics of healthy and aneurysmatic abdominal aortas: experimental analysis and modelling.

Authors:  Justyna A Niestrawska; Christian Viertler; Peter Regitnig; Tina U Cohnert; Gerhard Sommer; Gerhard A Holzapfel
Journal:  J R Soc Interface       Date:  2016-11       Impact factor: 4.118

2.  A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis.

Authors:  Liang Liang; Minliang Liu; Caitlin Martin; Wei Sun
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

3.  On the computation of in vivo transmural mean stress of patient-specific aortic wall.

Authors:  Minliang Liu; Liang Liang; Haofei Liu; Ming Zhang; Caitlin Martin; Wei Sun
Journal:  Biomech Model Mechanobiol       Date:  2018-11-09

4.  A new inverse method for estimation of in vivo mechanical properties of the aortic wall.

Authors:  Minliang Liu; Liang Liang; Wei Sun
Journal:  J Mech Behav Biomed Mater       Date:  2017-05-02

5.  Effects of Residual Stress, Axial Stretch, and Circumferential Shrinkage on Coronary Plaque Stress and Strain Calculations: A Modeling Study Using IVUS-Based Near-Idealized Geometries.

Authors:  Liang Wang; Jian Zhu; Habib Samady; David Monoly; Jie Zheng; Xiaoya Guo; Akiko Maehara; Chun Yang; Genshan Ma; Gary S Mintz; Dalin Tang
Journal:  J Biomech Eng       Date:  2017-01-01       Impact factor: 2.097

6.  Estimation of in vivo constitutive parameters of the aortic wall using a machine learning approach.

Authors:  Minliang Liu; Liang Liang; Wei Sun
Journal:  Comput Methods Appl Mech Eng       Date:  2018-12-28       Impact factor: 6.756

7.  On the relative impact of intraluminal thrombus heterogeneity on abdominal aortic aneurysm mechanics.

Authors:  Joseph Leach; Evan Kao; Chengcheng Zhu; David Saloner; Michael D Hope
Journal:  J Biomech Eng       Date:  2019-06-29       Impact factor: 2.097

8.  Patient specific characterization of artery and plaque material properties in peripheral artery disease.

Authors:  Christopher Noble; Kent D Carlson; Erica Neumann; Dan Dragomir-Daescu; Ahmet Erdemir; Amir Lerman; Melissa Young
Journal:  J Mech Behav Biomed Mater       Date:  2019-09-27

9.  A microstructurally inspired damage model for early venous thrombus.

Authors:  Manuel K Rausch; Jay D Humphrey
Journal:  J Mech Behav Biomed Mater       Date:  2015-10-17

10.  Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach.

Authors:  Minliang Liu; Liang Liang; Wei Sun
Journal:  J Mech Behav Biomed Mater       Date:  2017-10-20
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