The University of Southampton
University of Southampton Institutional Repository

Experimental validation of a finite element model of the proximal femur using digital image correlation and a composite bone model

Dickinson, Alexander, Taylor, Andrew, Ozturk, H. and Browne, Martin (2011) Experimental validation of a finite element model of the proximal femur using digital image correlation and a composite bone model Journal of Biomechanical Engineering, 133, (1), 014504-[6pp]. (doi:10.1115/1.4003129). (PMID:21186906).

Record type: Article


Computational biomechanical models are useful tools for supporting orthopaedic implant design and surgical decision making, but because they are a simplification of the clinical scenario they must be carefully validated to ensure that they are still representative. The goal of this study was to assess the validity of the generation process of a structural Finite Element model of the proximal femur, employing the Digital Image Correlation (DIC) strain measurement technique. A finite element analysis model of the proximal femur subjected to gait loading was generated from a CT scan of an analogue composite femur, and its predicted mechanical behaviour was compared to an experimental model. Where previous studies have employed strain gauging to obtain discreet point data for validation, in this study DIC was used for full field quantified comparison of the predicted and experimentally measured strains. The strain predicted by the computational model was in good agreement with experimental measurements, with R-Squared correlation values from 0.83 to 0.92 between the simulation and the tests. The sensitivity and repeatability of the strain measurements were comparable to or better than values reported in the literature for other DIC tests on tissue specimens. The experimental-model correlation was in the same range as values obtained from strain gauging, but the DIC technique produced more detailed, full field data and is potentially easier to use. As such, the findings supported the validity of the model generation process, giving greater confidence in the model’s predictions, and Digital Image Correlation was demonstrated as a useful tool for validation of biomechanical models.

PDF Dickinson_2011_a.pdf - Accepted Manuscript
Restricted to Repository staff only
Download (591kB)
PDF - Version of Record
Restricted to Repository staff only
Download (647kB)

More information

e-pub ahead of print date: 23 December 2010
Published date: January 2011
Keywords: biomechanics, biomedical imaging, bone, computerised tomography, finite element analysis, physiological models
Organisations: Bioengineering Sciences


Local EPrints ID: 170133
ISSN: 0148-0731
PURE UUID: 02c9d129-841a-4f81-be56-0b55f09a0ddf
ORCID for Alexander Dickinson: ORCID iD
ORCID for Martin Browne: ORCID iD

Catalogue record

Date deposited: 04 Jan 2011 10:02
Last modified: 18 Jul 2017 12:17

Export record



Author: Andrew Taylor
Author: H. Ozturk
Author: Martin Browne ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.