A round-robin finite element analysis of human femur mechanics between seven participating laboratories with experimental validation

Kluess, Daniel; Soodmand, Ehsan; Lorenz, Andrea; Pahr, Dieter H.; Schwarze, Michael; Cichon, Robert; Varady, Patrick A.; Herrmann, S.; Buchmeier, Bernhard; Schröder, Christian; Lehner, Stefan; Kebbach, Maeruan

doi:10.1080/10255842.2019.1615481

Cited by 25 publications

(28 citation statements)

References 32 publications

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“…The validation of the FEA model by the quasi-static experiment showed excellent correlation regarding the coefficients of determination. The experimentally measured values of the strain gauge strain

and the displacement of point C in vertical direction

were in the range of the magnitudes predicted by the FEA and are plausible concerning other studies [ 42 , 63 ]. In contrast to the strain, the deviation for the displacement

between the numerical data and the experiment was not negligible.…”

Section: Discussionsupporting

confidence: 90%

Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

et al. 2021

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Instrumented implants can improve the clinical outcome of total hip replacements (THRs). To overcome the drawbacks of external energy supply and batteries, energy harvesting is a promising approach to power energy-autonomous implants. Therefore, we recently presented a new piezoelectric-based energy harvesting concept for THRs. In this study, the performance of the proposed energy harvesting system was numerically and experimentally investigated. First, we numerically reproduced our previous results for the physiologically based loading situation in a simplified setup. Thereafter, this configuration was experimentally realised by the implantation of a functional model of the energy harvesting concept into an artificial bone segment. Additionally, the piezoelectric element alone was investigated to analyse the predictive power of the numerical model. We measured the generated voltage for a load profile for walking and calculated the power output. The maximum power for the directly loaded piezoelectric element and the functional model were 28.6 and 10.2 µW, respectively. Numerically, 72.7 µW was calculated. The curve progressions were qualitatively in good accordance with the numerical data. The deviations were explained by sensitivity analysis and model simplifications, e.g., material data or lower acting force levels by malalignment and differences between virtual and experimental implantation. The findings verify the feasibility of the proposed energy harvesting concept and form the basis for design optimisations with increased power output.

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and the displacement of point C in vertical direction

were in the range of the magnitudes predicted by the FEA and are plausible concerning other studies [ 42 , 63 ]. In contrast to the strain, the deviation for the displacement

between the numerical data and the experiment was not negligible.…”

Section: Discussionsupporting

confidence: 90%

Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

et al. 2021

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“…This is probably due to the uncertainties in the evaluation of the local TMD values from in vivo microCT scans, which are affected by image artefacts, such as beam hardening, that propagate in the FE model in function of the assignment of the heterogeneous material properties through the chosen constitutive law. It is interesting to note that a similar consideration in a quite different study was concluded by Kluess et al (2019) when analysing the uncertainties in FE modelling approaches for the human femur by different laboratories. The model using the simplest definition for material properties (homogeneous) was among those that achieved more accurate results compared to more complex models.…”

Section: Discussionmentioning

confidence: 70%

Non-invasive prediction of the mouse tibia mechanical properties from microCT images: comparison between different finite element models

Oliviero

Roberts

Owen

et al. 2021

Biomech Model Mechanobiol

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New treatments for bone diseases require testing in animal models before clinical translation, and the mouse tibia is among the most common models. In vivo micro-Computed Tomography (microCT)-based micro-Finite Element (microFE) models can be used for predicting the bone strength non-invasively, after proper validation against experimental data. Different modelling techniques can be used to estimate the bone properties, and the accuracy associated with each is unclear. The aim of this study was to evaluate the ability of different microCT-based microFE models to predict the mechanical properties of the mouse tibia under compressive load. Twenty tibiae were microCT scanned at 10.4 µm voxel size and subsequently compressed at 0.03 mm/s until failure. Stiffness and failure load were measured from the load–displacement curves. Different microFE models were generated from each microCT image, with hexahedral or tetrahedral mesh, and homogeneous or heterogeneous material properties. Prediction accuracy was comparable among models. The best correlations between experimental and predicted mechanical properties, as well as lower errors, were obtained for hexahedral models with homogeneous material properties. Experimental stiffness and predicted stiffness were reasonably well correlated (R2 = 0.53–0.65, average error of 13–17%). A lower correlation was found for failure load (R2 = 0.21–0.48, average error of 9–15%). Experimental and predicted mechanical properties normalized by the total bone mass were strongly correlated (R2 = 0.75–0.80 for stiffness, R2 = 0.55–0.81 for failure load). In conclusion, hexahedral models with homogeneous material properties based on in vivo microCT images were shown to best predict the mechanical properties of the mouse tibia.

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“…A human femur specimen of a 58 years male donor with no history of major injury or orthopaedic surgery was CT scanned (SOMATOM Definition AS + CT scanner, Siemens AG, Erlangen, Germany) with a calibration phantom (European Forearm Phantom-05–83, QRM GmbH, Möhrendorf, Germany) and the images were stored in DICOM format (Kluess et al 2019 ). AMIRA® software was deployed to import these images and reconstruct the bone surface.…”

Section: Methodsmentioning

confidence: 99%

Finite element analysis of bone remodelling with piezoelectric effects using an open-source framework

Bansod

Kebbach

Kluess

et al. 2021

Biomech Model Mechanobiol

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Bone tissue exhibits piezoelectric properties and thus is capable of transforming mechanical stress into electrical potential. Piezoelectricity has been shown to play a vital role in bone adaptation and remodelling processes. Therefore, to better understand the interplay between mechanical and electrical stimulation during these processes, strain-adaptive bone remodelling models without and with considering the piezoelectric effect were simulated using the Python-based open-source software framework. To discretise numerical attributes, the finite element method (FEM) was used for the spatial variables and an explicit Euler scheme for the temporal derivatives. The predicted bone apparent density distributions were qualitatively and quantitatively evaluated against the radiographic scan of a human proximal femur and the bone apparent density calculated using a bone mineral density (BMD) calibration phantom, respectively. Additionally, the effect of the initial bone density on the resulting predicted density distribution was investigated globally and locally. The simulation results showed that the electrically stimulated bone surface enhanced bone deposition and these are in good agreement with previous findings from the literature. Moreover, mechanical stimuli due to daily physical activities could be supported by therapeutic electrical stimulation to reduce bone loss in case of physical impairment or osteoporosis. The bone remodelling algorithm implemented using an open-source software framework facilitates easy accessibility and reproducibility of finite element analysis made.

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A round-robin finite element analysis of human femur mechanics between seven participating laboratories with experimental validation

Cited by 25 publications

References 32 publications

Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

Non-invasive prediction of the mouse tibia mechanical properties from microCT images: comparison between different finite element models

Finite element analysis of bone remodelling with piezoelectric effects using an open-source framework

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