Using inverse Finite Element analysis to identify spinal tissue behaviour in situ

Mengoni, M orcid.org/0000-0003-0986-2769 (2020) Using inverse Finite Element analysis to identify spinal tissue behaviour in situ. Methods. ISSN 1046-2023

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Author. Published by Elsevier Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Optimisation; In silico models; Data variability
Dates:
  • Accepted: 4 February 2020
  • Published (online): 6 February 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/F010575/1
EPSRC (Engineering and Physical Sciences Research Council)EP/K020757/1
Wellcome Trust088908/Z/09/Z
Depositing User: Symplectic Publications
Date Deposited: 06 Feb 2020 15:18
Last Modified: 04 May 2020 16:12
Status: Published online
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.ymeth.2020.02.004
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