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Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments
Biological tissues are complex hierarchical materials, difficult to characterise due to the challenges associated to the separation of scale and heterogeneity of the mechanical properties at different dimensional levels. The Digital Volume Correlation approach is the only image-based experimental ap...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577231/ https://www.ncbi.nlm.nih.gov/pubmed/36267445 http://dx.doi.org/10.3389/fbioe.2022.1010056 |
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author | Dall’Ara, Enrico Tozzi, Gianluca |
author_facet | Dall’Ara, Enrico Tozzi, Gianluca |
author_sort | Dall’Ara, Enrico |
collection | PubMed |
description | Biological tissues are complex hierarchical materials, difficult to characterise due to the challenges associated to the separation of scale and heterogeneity of the mechanical properties at different dimensional levels. The Digital Volume Correlation approach is the only image-based experimental approach that can accurately measure internal strain field within biological tissues under complex loading scenarios. In this minireview examples of DVC applications to study the deformation of musculoskeletal tissues at different dimensional scales are reported, highlighting the potential and challenges of this relatively new technique. The manuscript aims at reporting the wide breath of DVC applications in the past 2 decades and discuss future perspective for this unique technique, including fast analysis, applications on soft tissues, high precision approaches, and clinical applications. |
format | Online Article Text |
id | pubmed-9577231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95772312022-10-19 Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments Dall’Ara, Enrico Tozzi, Gianluca Front Bioeng Biotechnol Bioengineering and Biotechnology Biological tissues are complex hierarchical materials, difficult to characterise due to the challenges associated to the separation of scale and heterogeneity of the mechanical properties at different dimensional levels. The Digital Volume Correlation approach is the only image-based experimental approach that can accurately measure internal strain field within biological tissues under complex loading scenarios. In this minireview examples of DVC applications to study the deformation of musculoskeletal tissues at different dimensional scales are reported, highlighting the potential and challenges of this relatively new technique. The manuscript aims at reporting the wide breath of DVC applications in the past 2 decades and discuss future perspective for this unique technique, including fast analysis, applications on soft tissues, high precision approaches, and clinical applications. Frontiers Media S.A. 2022-10-04 /pmc/articles/PMC9577231/ /pubmed/36267445 http://dx.doi.org/10.3389/fbioe.2022.1010056 Text en Copyright © 2022 Dall’Ara and Tozzi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Dall’Ara, Enrico Tozzi, Gianluca Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments |
title | Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments |
title_full | Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments |
title_fullStr | Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments |
title_full_unstemmed | Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments |
title_short | Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments |
title_sort | digital volume correlation for the characterization of musculoskeletal tissues: current challenges and future developments |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577231/ https://www.ncbi.nlm.nih.gov/pubmed/36267445 http://dx.doi.org/10.3389/fbioe.2022.1010056 |
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