Precision of Digital Volume Correlation Approaches for Strain Analysis in Bone Imaged with Micro-Computed Tomography at Different Dimensional Levels

Dall’Ara, E., Peña-Fernández, M., Palanca, M. et al. (3 more authors) (2017) Precision of Digital Volume Correlation Approaches for Strain Analysis in Bone Imaged with Micro-Computed Tomography at Different Dimensional Levels. Frontiers in Materials, 4. 31.

Abstract

Metadata

Authors/Creators:
  • Dall’Ara, E.
  • Peña-Fernández, M.
  • Palanca, M.
  • Giorgi, M.
  • Cristofolini, L.
  • Tozzi, G.
Copyright, Publisher and Additional Information: Copyright © 2017 Dall’Ara, Peña-Fernández, Palanca, Giorgi, Cristofolini 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) or licensor 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.
Keywords: bone; strain; digital volume correlation; deformable registration; micro-computed tomography; precision
Dates:
  • Published: 8 November 2017
  • Published (online): 8 November 2017
  • Accepted: 9 October 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine (Sheffield) > Division of Genomic Medicine (Sheffield) > Department of Oncology (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7MAMBO - 327357
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K03877X/1
ROYAL SOCIETYRG150012
Depositing User: Symplectic Sheffield
Date Deposited: 14 Nov 2017 11:58
Last Modified: 22 Jul 2020 10:09
Published Version: https://doi.org/10.3389/fmats.2017.00031
Status: Published
Publisher: Frontiers Media
Refereed: Yes
Identification Number: https://doi.org/10.3389/fmats.2017.00031
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