The application of digital volume correlation (DVC) to evaluate strain predictions generated by finite element models of the osteoarthritic humeral head

Kusins, J., Knowles, N., Columbus, M. et al. (4 more authors) (2020) The application of digital volume correlation (DVC) to evaluate strain predictions generated by finite element models of the osteoarthritic humeral head. Annals of Biomedical Engineering. ISSN 0090-6964

Abstract

Metadata

Authors/Creators:
  • Kusins, J.
  • Knowles, N.
  • Columbus, M.
  • Oliviero, S.
  • Dall’Ara, E.
  • Athwal, G.S.
  • Ferreira, L.M.
Copyright, Publisher and Additional Information: © 2020 The Author(s). Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Patient-specific finite element analysis; Digital volume correlation; Humerus FEM; CT-compatible loading; Osteoarthritis; Shoulder; Arthroplasty
Dates:
  • Accepted: 12 June 2020
  • Published (online): 22 June 2020
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:
FunderGrant number
Engineering and Physical Sciences Research CouncilEP/K03877X/1
Depositing User: Symplectic Sheffield
Date Deposited: 26 Jun 2020 11:13
Last Modified: 30 Jun 2020 01:48
Status: Published online
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1007/s10439-020-02549-2
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