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  4. An Inverse Fitting Strategy to Determine the Constrained Mixture Model Parameters: Application in Patient-Specific Aorta
Details

An Inverse Fitting Strategy to Determine the Constrained Mixture Model Parameters: Application in Patient-Specific Aorta

Journal
Frontiers in Bioengineering and Biotechnology
ISSN
2296-4185
Date Issued
2023
Author(s)
Garcia-Herrera, C  
Rivera-Mancilla, E  
Navarrete-Rosales, A  
Utrera-Soto, A  
Abstract
The Constrained Mixture Model (CMM) is a novel approach to describe arterial wall mechanics, whose formulation is based on a referential physiological state. The CMM considers the arterial wall as a mixture of load-bearing constituents, each of them with characteristic mass fraction, material properties, and deposition stretch levels from its stress-free state to the in-vivo configuration. Although some reports of this model successfully assess its capabilities, they barely explore experimental approaches to model patient-specific scenarios. In this sense, we propose an iterative fitting procedure of numerical-experimental nature to determine material parameters and deposition stretch values. To this end, the model has been implemented in a finite element framework, and it is calibrated using reported experimental data of descending thoracic aorta. The main results obtained from the proposed procedure consist of a set of material parameters for each constituent. Moreover, a relationship between deposition stretches and residual strain measurements (opening angle and axial stretch) has been numerically proved, establishing a strong consistency between the model and experimental data. Copyright © 2023 Navarrete, Utrera, Rivera, Latorre, Celentano and García-Herrera.
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