Patient-specific finite element analysis of the human femur—A double-blinded biomechanical validation

Trabelsi, Nir; Yosibash, Zohar; Wutte, Christof; Augat, Peter; Eberle, Sebastian

doi:10.1016/j.jbiomech.2011.03.024

Cited by 111 publications

(58 citation statements)

References 22 publications

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“…The published density-elasticity equation provided metatarsal strain predictions that were highly correlated with experimental measurements (r 2 0.94), in accordance with some of the better FE predictions reported in the literature for other bones (209,216,217).…”

Section: Discussionsupporting

confidence: 83%

Experimental validation of finite element predicted bone strain in the human metatarsal

Fung

Loundagin

Edwards

2017

Journal of Biomechanics

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The objective of this study was to verify and validate a finite element modeling routine for the human metatarsal, which is a common location for stress fractures. Experimental strain measurements on 33 human cadaveric metatarsals subject to cantilever bending were compared with strain predictions from finite element (FE) models generated from computed tomography images. For the material property assignment of the FE models, a published density-elasticity relationship was compared with density-elasticity equations developed using optimization techniques. The correlations between the measured and predicted and predicted strains were very high (r 2 ≥0.94) for all of the density-elasticity equations. However, the utilization of an optimized density-elasticity equation improved the accuracy of the finite element models, reducing the maximum error between measured and predicted strains by 10% to 20%. The finite element modeling routine could be used for investigating potential interventions to minimize metatarsal strains and the occurrence of metatarsal stress fractures.iii

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Section: Discussionsupporting

confidence: 83%

Experimental validation of finite element predicted bone strain in the human metatarsal

Fung

Loundagin

Edwards

2017

Journal of Biomechanics

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“…The total displacements u tot = u 2 x + u 2 y + u 2 z of the optical markers on the bone surface were also calculated. Details on these experiments were provided in [13].…”

Section: Validation By Comparison To In-vitro Experimentsmentioning

confidence: 99%

“…Thanks to the double-blinded validation on 12 of the 17 femurs [13], this validation process is also bias-free. The V&V process outlined herein lays the foundation for the extension of the study to prediction of fractures in pathological cases as osteoporotic bones.…”

Section: Validation By Comparison To In-vitro Experimentsmentioning

confidence: 99%

“…Here, a systematic V&V process, involving the largest set (so far considered) of seventeen human fresh-frozen femurs, is considered. The verified p-FEMs results where then used for validation purposes; both strains and displacements results were compared to experimental observations, such that twelve of these experiments were performed by a different group so a "blind" non-biased comparison was obtained [13].…”

Section: Introductionmentioning

confidence: 99%

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p-FEMs in biomechanics: Bones and arteries

Yosibash

2012

Computer Methods in Applied Mechanics and Engineering

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“…There is a great number of valuable contributions to this field (see, e.g. [1,23,29,36,37] and the literature cited therein). Detailed studies have been carried out to assist surgeons and implant designers in improving their understanding of the origin and patterns of the stresses and strains involved.…”

Section: Introductionmentioning

confidence: 99%

Non-standard bone simulation: interactive numerical analysis by computational steering

Yang

Kollmannsberger

Düster

et al. 2011

Comput. Visual Sci.

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Numerous numerical methods have been developed in an effort to accurately predict stresses in bones. The largest group are variants of the h-version of the finite element method (h-FEM), where low order Ansatz functions are used. By contrast, we3 investigate a combination of high order FEM and a fictitious domain approach, the finite cell method (FCM). While the FCM has been verified and validated in previous publications, this article proposes methods on how the FCM can be made computationally efficient to the extent that it can be used for patient specific, interactive bone simulations. This approach is called computa-

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Patient-specific finite element analysis of the human femur—A double-blinded biomechanical validation

Cited by 111 publications

References 22 publications

Experimental validation of finite element predicted bone strain in the human metatarsal

Experimental validation of finite element predicted bone strain in the human metatarsal

p-FEMs in biomechanics: Bones and arteries

Non-standard bone simulation: interactive numerical analysis by computational steering

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