Detail publikačního výsledku

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

LISICKÝ, O.; AVRIL, S.; EYDAN, B.; PIERRAT, B.; BURŠA, J.

Original Title

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

English Title

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

Type

WoS Article

Original Abstract

High-fidelity biomechanical models usually involve the mechanical characterisation 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 characterise heterogeneous specimens with irregular shapes and/or small dimensions, which are typical features of soft biological tissues.

English abstract

High-fidelity biomechanical models usually involve the mechanical characterisation 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 characterise heterogeneous specimens with irregular shapes and/or small dimensions, which are typical features of soft biological tissues.

Keywords

deformation field; digital image correlation; image registration; mechanical testing; soft biological tissue

Key words in English

deformation field; digital image correlation; image registration; mechanical testing; soft biological tissue

Authors

LISICKÝ, O.; AVRIL, S.; EYDAN, B.; PIERRAT, B.; BURŠA, J.

RIV year

2023

Released

15.06.2022

Publisher

WILEY

Location

HOBOKEN

ISBN

1475-1305

Periodical

STRAIN

Volume

58

Number

3

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

12

Pages count

12

URL

https://onlinelibrary.wiley.com/doi/10.1111/str.12424

Full text in the Digital Library

http://hdl.handle.net/

BibTex

@article{BUT178370,
  author="Ondřej {Lisický} and Stéphane {Avril} and Bastien {Eydan} and Baptiste {Pierrat} and Jiří {Burša}",
  title="Evaluation of image registration for measuring deformation fields in soft tissue mechanics",
  journal="STRAIN",
  year="2022",
  volume="58",
  number="3",
  pages="1--12",
  doi="10.1111/str.12424",
  issn="0039-2103",
  url="https://onlinelibrary.wiley.com/doi/10.1111/str.12424"
}