Elastography is a noninvasive imaging technique that provides information on soft tissue stiffness. Young's modulus is typically used to characterize soft tissues' response to the applied force, as soft tissues are often considered linear elastic, isotropic, and quasi-incompressible materials. This approximation is reasonable for small strains, but soft tissues undergo large deformations also for small values of force and exhibit nonlinear elastic behavior. Outside the linear regime, the elastic modulus is dependent on the strain level and is different for any kind of tissue. The aim of this study was to characterize, ex vivo, the mechanical response of two different mice muscles to an external force. A system for transverse force-controlled uniaxial compression enabled obtaining the stress-strain (σ-ϵ) curve of the samples. The strain-dependent Young's modulus (SYM) model was adopted to reproduce muscle compression behavior and to predict the elastic modulus for large deformations. After that, a recursive linear model was employed to identify the initial linear region of the σ-ϵ curve. Results showed that both muscle types exhibited a strain hardening effect and that the SYM model provided good fitting of the entire σ-ϵ curves. The application of the recursive linear model allowed capturing the initial linear region in which the approximation of these tissues as linear elastic materials is reasonable. The residual analysis displayed that even if the SYM model better summarizes the muscle behavior on the entire region, the linear model is more precise when considering only the initial part of the σ-ϵ curve.

Measuring and modelling nonlinear elasticity of ex vivo mouse muscles / Rizzuto, E.; De Luca, R.; Musarò, Antonio; Del Prete, Z.. - In: JOURNAL OF HEALTHCARE ENGINEERING. - ISSN 2040-2295. - 2021:(2021), pp. 1-8. [10.1155/2021/5579232]

Measuring and modelling nonlinear elasticity of ex vivo mouse muscles

Rizzuto E.
;
Musarò Antonio;Del Prete Z.
2021

Abstract

Elastography is a noninvasive imaging technique that provides information on soft tissue stiffness. Young's modulus is typically used to characterize soft tissues' response to the applied force, as soft tissues are often considered linear elastic, isotropic, and quasi-incompressible materials. This approximation is reasonable for small strains, but soft tissues undergo large deformations also for small values of force and exhibit nonlinear elastic behavior. Outside the linear regime, the elastic modulus is dependent on the strain level and is different for any kind of tissue. The aim of this study was to characterize, ex vivo, the mechanical response of two different mice muscles to an external force. A system for transverse force-controlled uniaxial compression enabled obtaining the stress-strain (σ-ϵ) curve of the samples. The strain-dependent Young's modulus (SYM) model was adopted to reproduce muscle compression behavior and to predict the elastic modulus for large deformations. After that, a recursive linear model was employed to identify the initial linear region of the σ-ϵ curve. Results showed that both muscle types exhibited a strain hardening effect and that the SYM model provided good fitting of the entire σ-ϵ curves. The application of the recursive linear model allowed capturing the initial linear region in which the approximation of these tissues as linear elastic materials is reasonable. The residual analysis displayed that even if the SYM model better summarizes the muscle behavior on the entire region, the linear model is more precise when considering only the initial part of the σ-ϵ curve.
2021
mechanical measurements; elastic modulus; elasticity; muscles; elasticity imaging techniques
01 Pubblicazione su rivista::01a Articolo in rivista
Measuring and modelling nonlinear elasticity of ex vivo mouse muscles / Rizzuto, E.; De Luca, R.; Musarò, Antonio; Del Prete, Z.. - In: JOURNAL OF HEALTHCARE ENGINEERING. - ISSN 2040-2295. - 2021:(2021), pp. 1-8. [10.1155/2021/5579232]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1616403
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