Literature DB >> 17627862

A modified method for assigning material properties to FE models of bones.

Benedikt Helgason1, Fulvia Taddei, Halldór Pálsson, Enrico Schileo, Luca Cristofolini, Marco Viceconti, Sigurthur Brynjólfsson.   

Abstract

The aim of the present study is to compare the results from subject-specific finite element analysis (FEA) of a human femur to experimental measurements, using two different methods for assigning material properties to the FE models. A modified material mapping strategy allowing for spatial variation of material properties within the elements and Young's modulus surface corrections is presented and compared to a more conventional strategy, whereby constant material properties are assigned to each element. The accuracy of the superficial stress-strain predictions was evaluated against experimental results from 13 strain gauges and five different load cases. Both methods predicted stresses with acceptable accuracy (R(2) = 0.92, root mean square error, RMSE < 10%), with the conventional method performing slightly better. The modified method performed better in strain prediction (R(2) = 0.85, RMSE = 23% versus R(2) = 0.79, RMSE = 31%).

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Year:  2007        PMID: 17627862     DOI: 10.1016/j.medengphy.2007.05.006

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  13 in total

1.  What makes an accurate and reliable subject-specific finite element model? A case study of an elephant femur.

Authors:  O Panagiotopoulou; S D Wilshin; E J Rayfield; S J Shefelbine; J R Hutchinson
Journal:  J R Soc Interface       Date:  2011-07-13       Impact factor: 4.118

2.  Material Mapping of QCT-Derived Scapular Models: A Comparison with Micro-CT Loaded Specimens Using Digital Volume Correlation.

Authors:  Nikolas K Knowles; Jonathan Kusins; Mohammadreza Faieghi; Melissa Ryan; Enrico Dall'Ara; Louis M Ferreira
Journal:  Ann Biomed Eng       Date:  2019-07-11       Impact factor: 3.934

Review 3.  Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis-A Survey.

Authors:  Amadeus C S de Alcântara; Israel Assis; Daniel Prada; Konrad Mehle; Stefan Schwan; Lucia Costa-Paiva; Munir S Skaf; Luiz C Wrobel; Paulo Sollero
Journal:  Materials (Basel)       Date:  2019-12-24       Impact factor: 3.623

4.  Patient-specific finite element estimated femur strength as a predictor of the risk of hip fracture: the effect of methodological determinants.

Authors:  M Qasim; G Farinella; J Zhang; X Li; L Yang; R Eastell; M Viceconti
Journal:  Osteoporos Int       Date:  2016-04-23       Impact factor: 4.507

5.  Left-right differences in the proximal femur's strength of post-menopausal women: a multicentric finite element study.

Authors:  F Taddei; C Falcinelli; L Balistreri; P Henys; F Baruffaldi; S Sigurdsson; V Gudnason; T B Harris; R Dietzel; G Armbrecht; S Boutroy; E Schileo
Journal:  Osteoporos Int       Date:  2015-11-17       Impact factor: 4.507

6.  An efficient method of modeling material properties using a thermal diffusion analogy: an example based on craniofacial bone.

Authors:  Julian L Davis; Elizabeth R Dumont; David S Strait; Ian R Grosse
Journal:  PLoS One       Date:  2011-02-11       Impact factor: 3.240

7.  Finite Element Analysis and Biomechanical Testing to Analyze Fracture Displacement of Alveolar Ridge Splitting.

Authors:  Andres Stricker; Daniel Widmer; Boyko Gueorguiev; Dieter Wahl; Peter Varga; Fabian Duttenhoefer
Journal:  Biomed Res Int       Date:  2018-10-14       Impact factor: 3.411

8.  Sensitivity of the stress field of the proximal femur predicted by CT-based FE analysis to modeling uncertainties.

Authors:  Sina Youssefian; Jarred A Bressner; Mikhail Osanov; James K Guest; Wojciech B Zbijewski; Adam S Levin
Journal:  J Orthop Res       Date:  2021-07-13       Impact factor: 3.102

9.  Study of the variations of fall induced hip fracture risk between right and left femurs using CT-based FEA.

Authors:  Tanvir R Faisal; Yunhua Luo
Journal:  Biomed Eng Online       Date:  2017-10-03       Impact factor: 2.819

10.  Application of multidimensional interpolation on nonhomogeneous cancellous bone.

Authors:  Sikai Liu; Sheng Li; Ning Wei; Wenli Chang; Pan Hu; Xiaodong Cheng; Ling Wang; Wei Chen
Journal:  Medicine (Baltimore)       Date:  2018-09       Impact factor: 1.817

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