Dall’Ara, E. and Tozzi, G. (2022) Digital volume correlation for the characterization of musculoskeletal tissues: current challenges and future developments. Frontiers in Bioengineering and Biotechnology, 10. 1010056. ISSN 2296-4185
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 Dall’Ara and Tozzi. 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. (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | digital volume correlation; musculoskeletal tissues; biomaterials; in situ mechanics; bone |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Human Metabolism (Sheffield) The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Oncology (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/P015778/1 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/S032940/1 Engineering and Physical Sciences Research Council EP/K03877X/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Oct 2022 14:22 |
Last Modified: | 25 Oct 2022 14:22 |
Status: | Published |
Publisher: | Frontiers Media S.A. |
Refereed: | Yes |
Identification Number: | 10.3389/fbioe.2022.1010056 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:192545 |