Evaluation of image registration for measuring deformation fields in soft tissue mechanics - Archive ouverte HAL Access content directly
Journal Articles Strain Year : 2022

Evaluation of image registration for measuring deformation fields in soft tissue mechanics

, (1) , , ,
1

Abstract

High-fidelity biomechanical models usually involve the mechanical characterization of biological tissues using experimental methods based on optical measurements. In most experiments, strains are evaluated based on displacements of a few markers and represents an average within the region of interest (ROI). Full-field measurements may improve description of non-homogeneous materials such as soft tissues. The approach based on non-rigid Image Registration is proposed and compared with standard Digital Image Correlation (DIC) on a set of samples, including (i) complex heterogeneous deformations with sub-pixel displacement, (ii) a typical uniaxial tension test of aorta, and (iii) an indentation test on skin. The possibility to extend the ROI to the whole sample and the exploitation of a natural tissue pattern represents the main assets of the proposed method whereas the results show similar accuracy as standard DIC when analysing sub-pixel deformations. Therefore, displacement and strain fields measurement based on Image Registration is very promising to characterize heterogeneous specimens with irregular shapes and/or small dimensions, which are typical features of soft biological tissues.
Fichier principal
Vignette du fichier
ondrej author.pdf (329.97 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03926799 , version 1 (06-01-2023)

Identifiers

Cite

Ondřej Lisický, Stéphane Avril, Bastien Eydan, Baptiste Pierrat, Jiří Burša. Evaluation of image registration for measuring deformation fields in soft tissue mechanics. Strain, 2022, 58 (4), ⟨10.1111/str.12424⟩. ⟨hal-03926799⟩

Collections

CNRS
0 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More