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Digital image correlation as a tool for three-dimensional strain analysis in human tendon tissue

BACKGROUND: Determining the mechanical behaviour of tendon and ligamentous tissue remains challenging, as it is anisotropic, non-linear and inhomogeneous in nature. METHODS: In this study, three-dimensional (3D) digital image correlation (DIC) was adopted to examine the strain distribution in the hu...

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Autores principales: Luyckx, Thomas, Verstraete, Matthias, De Roo, Karel, De Waele, Wim, Bellemans, Johan, Victor, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648840/
https://www.ncbi.nlm.nih.gov/pubmed/26914752
http://dx.doi.org/10.1186/s40634-014-0007-8
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author Luyckx, Thomas
Verstraete, Matthias
De Roo, Karel
De Waele, Wim
Bellemans, Johan
Victor, Jan
author_facet Luyckx, Thomas
Verstraete, Matthias
De Roo, Karel
De Waele, Wim
Bellemans, Johan
Victor, Jan
author_sort Luyckx, Thomas
collection PubMed
description BACKGROUND: Determining the mechanical behaviour of tendon and ligamentous tissue remains challenging, as it is anisotropic, non-linear and inhomogeneous in nature. METHODS: In this study, three-dimensional (3D) digital image correlation (DIC) was adopted to examine the strain distribution in the human Achilles tendon. Therefore, 6 fresh frozen human Achilles tendon specimens were mounted in a custom made rig for uni-axial loading. 3D DIC measurements of each loading position were obtained and compared to 2 linear variable differential transformers (LVDT’s). RESULTS: 3D DIC was able to calculate tendon strain in every region of all obtained images. The scatter was found to be low in all specimens and comparable to that obtained in steel applications. The accuracy of the 3D DIC measurement was higher in the centre of the specimen where scatter values around 0.03% strain were obtained. The overall scatter remained below 0.3% in all specimens. The spatial resolution of 3D DIC on human tendon tissue was found to be 0.1 mm(2). The correlation coefficient between the 3D DIC measurements and the LVDT measurements showed an excellent linear agreement in all specimens (R(2) = 0.99). Apart from the longitudinal strain component, an important transverse strain component was revealed in all specimens. The strain distribution of both components was of a strongly inhomogeneous nature, both within the same specimen and amongst different specimens. CONCLUSION: DIC proved to be a very accurate and reproducible tool for 3D strain analysis in human tendon tissue. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40634-014-0007-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-46488402015-11-25 Digital image correlation as a tool for three-dimensional strain analysis in human tendon tissue Luyckx, Thomas Verstraete, Matthias De Roo, Karel De Waele, Wim Bellemans, Johan Victor, Jan J Exp Orthop Research BACKGROUND: Determining the mechanical behaviour of tendon and ligamentous tissue remains challenging, as it is anisotropic, non-linear and inhomogeneous in nature. METHODS: In this study, three-dimensional (3D) digital image correlation (DIC) was adopted to examine the strain distribution in the human Achilles tendon. Therefore, 6 fresh frozen human Achilles tendon specimens were mounted in a custom made rig for uni-axial loading. 3D DIC measurements of each loading position were obtained and compared to 2 linear variable differential transformers (LVDT’s). RESULTS: 3D DIC was able to calculate tendon strain in every region of all obtained images. The scatter was found to be low in all specimens and comparable to that obtained in steel applications. The accuracy of the 3D DIC measurement was higher in the centre of the specimen where scatter values around 0.03% strain were obtained. The overall scatter remained below 0.3% in all specimens. The spatial resolution of 3D DIC on human tendon tissue was found to be 0.1 mm(2). The correlation coefficient between the 3D DIC measurements and the LVDT measurements showed an excellent linear agreement in all specimens (R(2) = 0.99). Apart from the longitudinal strain component, an important transverse strain component was revealed in all specimens. The strain distribution of both components was of a strongly inhomogeneous nature, both within the same specimen and amongst different specimens. CONCLUSION: DIC proved to be a very accurate and reproducible tool for 3D strain analysis in human tendon tissue. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40634-014-0007-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2014-06-26 /pmc/articles/PMC4648840/ /pubmed/26914752 http://dx.doi.org/10.1186/s40634-014-0007-8 Text en © Luyckx et al.; licensee Springer 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Luyckx, Thomas
Verstraete, Matthias
De Roo, Karel
De Waele, Wim
Bellemans, Johan
Victor, Jan
Digital image correlation as a tool for three-dimensional strain analysis in human tendon tissue
title Digital image correlation as a tool for three-dimensional strain analysis in human tendon tissue
title_full Digital image correlation as a tool for three-dimensional strain analysis in human tendon tissue
title_fullStr Digital image correlation as a tool for three-dimensional strain analysis in human tendon tissue
title_full_unstemmed Digital image correlation as a tool for three-dimensional strain analysis in human tendon tissue
title_short Digital image correlation as a tool for three-dimensional strain analysis in human tendon tissue
title_sort digital image correlation as a tool for three-dimensional strain analysis in human tendon tissue
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648840/
https://www.ncbi.nlm.nih.gov/pubmed/26914752
http://dx.doi.org/10.1186/s40634-014-0007-8
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