Literature DB >> 28536892

Patient-specific stress analyses in the ascending thoracic aorta using a finite-element implementation of the constrained mixture theory.

S Jamaleddin Mousavi1,2,3, Stéphane Avril4,5,6.   

Abstract

It is now a rather common approach to perform patient-specific stress analyses of arterial walls using finite-element models reconstructed from gated medical images. However, this requires to compute for every Gauss point the deformation gradient between the current configuration and a stress-free reference configuration. It is technically difficult to define such a reference configuration, and there is actually no guarantee that a stress-free configuration is physically attainable due to the presence of internal stresses in unloaded soft tissues. An alternative framework was proposed by Bellini et al. (Ann Biomed Eng 42(3):488-502, 2014). It consists of computing the deformation gradients between the current configuration and a prestressed reference configuration. We present here the first finite-element results based on this concept using the Abaqus software. The reference configuration is set arbitrarily to the in vivo average geometry of the artery, which is obtained from gated medical images and is assumed to be mechanobiologically homeostatic. For every Gauss point, the stress is split additively into the contributions of each individual load-bearing constituent of the tissue, namely elastin, collagen, smooth muscle cells. Each constituent is assigned an independent prestretch in the reference configuration, named the deposition stretch. The outstanding advantage of the present approach is that it simultaneously computes the in situ stresses existing in the reference configuration and predicts the residual stresses that occur after removing the different loadings applied onto the artery (pressure and axial load). As a proof of concept, we applied it on an ideal thick-wall cylinder and showed that the obtained results were consistent with corresponding experimental and analytical results of the well-known literature. In addition, we developed a patient-specific model of a human ascending thoracic aneurysmal aorta and demonstrated the utility in predicting the wall stress distribution in vivo under the effects of physiological pressure. Finally, we simulated the whole process preceding traditional in vitro uniaxial tensile testing of arteries, including excision from the body, radial cutting, flattening and subsequent tensile loading, showing how this process may impact the final mechanical properties derived from these in vitro tests.

Entities:  

Keywords:  Anisotropic behavior; Constrained mixture theory; Finite elements; Residual stresses; Zero-pressure configuration

Mesh:

Substances:

Year:  2017        PMID: 28536892     DOI: 10.1007/s10237-017-0918-2

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  9 in total

1.  Intramural Distributions of GAGs and Collagen vs. Opening Angle of the Intact Porcine Aortic Wall.

Authors:  Noor M Ghadie; Jean-Philippe St-Pierre; Michel R Labrosse
Journal:  Ann Biomed Eng       Date:  2022-01-13       Impact factor: 3.934

2.  Constrained Mixture Models of Soft Tissue Growth and Remodeling - Twenty Years After.

Authors:  J D Humphrey
Journal:  J Elast       Date:  2021-01-21       Impact factor: 1.742

Review 3.  Multiscale simulations of left ventricular growth and remodeling.

Authors:  Hossein Sharifi; Charles K Mann; Alexus L Rockward; Mohammad Mehri; Joy Mojumder; Lik-Chuan Lee; Kenneth S Campbell; Jonathan F Wenk
Journal:  Biophys Rev       Date:  2021-08-25

4.  Reconstructing vascular homeostasis by growth-based prestretch and optimal fiber deposition.

Authors:  Jiacheng Wu; Christoph M Augustin; Shawn C Shadden
Journal:  J Mech Behav Biomed Mater       Date:  2020-11-07

5.  A Direct Comparison of Node and Element-Based Finite Element Modeling Approaches to Study Tissue Growth.

Authors:  Danielle Howe; Nikhil N Dixit; Katherine R Saul; Matthew B Fisher
Journal:  J Biomech Eng       Date:  2022-01-01       Impact factor: 2.097

6.  Experimental and Mouse-Specific Computational Models of the Fbln4SMKO Mouse to Identify Potential Biomarkers for Ascending Thoracic Aortic Aneurysm.

Authors:  Marisa S Bazzi; Ramin Balouchzadeh; Shawn N Pavey; James D Quirk; Hiromi Yanagisawa; Vijay Vedula; Jessica E Wagenseil; Victor H Barocas
Journal:  Cardiovasc Eng Technol       Date:  2022-01-22       Impact factor: 2.305

Review 7.  Computational modeling of cardiac growth and remodeling in pressure overloaded hearts-Linking microstructure to organ phenotype.

Authors:  Justyna A Niestrawska; Christoph M Augustin; Gernot Plank
Journal:  Acta Biomater       Date:  2020-02-11       Impact factor: 8.947

8.  Modeling lamellar disruption within the aortic wall using a particle-based approach.

Authors:  H Ahmadzadeh; M K Rausch; J D Humphrey
Journal:  Sci Rep       Date:  2019-10-25       Impact factor: 4.379

9.  About prestretch in homogenized constrained mixture models simulating growth and remodeling in patient-specific aortic geometries.

Authors:  Joan D Laubrie; S Jamaleddin Mousavi; Stéphane Avril
Journal:  Biomech Model Mechanobiol       Date:  2022-01-24
  9 in total

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