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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...

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Detalles Bibliográficos
Autores principales: Dall’Ara, Enrico, Tozzi, Gianluca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
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.
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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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