Literature DB >> 22938356

Experimental validation of finite element models of intact and implanted composite hemipelvises using digital image correlation.

Rajesh Ghosh1, Sanjay Gupta, Alexander Dickinson, Martin Browne.   

Abstract

A detailed understanding of the changes in load transfer due to implantation is necessary to identify potential failure mechanisms of orthopedic implants. Computational finite element (FE) models provide full field data on intact and implanted bone structures, but their validity must be assessed for clinical relevance. The aim of this study was to test the validity of FE predicted strain distributions for the intact and implanted pelvis using the digital image correlation (DIC) strain measurement technique. FE models of an in vitro hemipelvis test setup were produced, both intact and implanted with an acetabular cup. Strain predictions were compared to DIC and strain rosette measurements. Regression analysis indicated a strong linear relationship between the measured and predicted strains, with a high correlation coefficient (R = 0.956 intact, 0.938 implanted) and a low standard error of the estimate (SE = 69.53 με, 75.09 με). Moreover, close agreement between the strain rosette and DIC measurements improved confidence in the validity of the DIC technique. The FE model therefore was supported as a valid predictor of the measured strain distribution in the intact and implanted composite pelvis models, confirming its suitability for further computational investigations.

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Year:  2012        PMID: 22938356     DOI: 10.1115/1.4007173

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  9 in total

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Journal:  Med Biol Eng Comput       Date:  2016-08-04       Impact factor: 2.602

2.  Assessment of failure of cemented polyethylene acetabular component due to bone remodeling: A finite element study.

Authors:  Rajesh Ghosh
Journal:  J Orthop       Date:  2016-03-29

3.  Mechanobiological simulations of peri-acetabular bone ingrowth: a comparative analysis of cell-phenotype specific and phenomenological algorithms.

Authors:  Kaushik Mukherjee; Sanjay Gupta
Journal:  Med Biol Eng Comput       Date:  2016-06-02       Impact factor: 2.602

4.  Zeroth-order finite similitude and scaling of complex geometries in biomechanical experimentation.

Authors:  Raul Ochoa-Cabrero; Teresa Alonso-Rasgado; Keith Davey
Journal:  J R Soc Interface       Date:  2020-06-24       Impact factor: 4.118

5.  Accuracy of finite element analyses of CT scans in predictions of vertebral failure patterns under axial compression and anterior flexion.

Authors:  Timothy M Jackman; Alex M DelMonaco; Elise F Morgan
Journal:  J Biomech       Date:  2015-12-11       Impact factor: 2.712

6.  Metal-backed versus all-polyethylene unicompartmental knee arthroplasty: Proximal tibial strain in an experimentally validated finite element model.

Authors:  C E H Scott; M J Eaton; R W Nutton; F A Wade; S L Evans; P Pankaj
Journal:  Bone Joint Res       Date:  2017-01       Impact factor: 5.853

7.  Role of the Anterior Center-Edge Angle on Acetabular Stress Distribution in Borderline Development Dysplastic of Hip Determined by Finite Element Analysis.

Authors:  Songhao Chen; Liqiang Zhang; Yuqian Mei; Hong Zhang; Yongcheng Hu; Duanduan Chen
Journal:  Front Bioeng Biotechnol       Date:  2022-03-01

8.  Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation.

Authors:  Chiara Garavelli; Cristina Curreli; Marco Palanca; Alessandra Aldieri; Luca Cristofolini; Marco Viceconti
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

9.  Comparative analysis of the biomechanical behavior of two different design metaphyseal-fitting short stems using digital image correlation.

Authors:  I Tatani; P Megas; A Panagopoulos; I Diamantakos; Ph Nanopoulos; Sp Pantelakis
Journal:  Biomed Eng Online       Date:  2020-08-19       Impact factor: 2.819

  9 in total

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