Frontiers in Bioengineering and Biotechnology (Nov 2023)

An inverse fitting strategy to determine the constrained mixture model parameters: application in patient-specific aorta

  • Álvaro Navarrete,
  • Andrés Utrera,
  • Eugenio Rivera,
  • Marcos Latorre,
  • Diego J. Celentano,
  • Claudio M. García-Herrera

DOI
https://doi.org/10.3389/fbioe.2023.1301988
Journal volume & issue
Vol. 11

Abstract

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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.

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