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

dataset
posted on 2021-01-25, 16:30 authored by Enrico Dall'AraEnrico Dall'Ara, Sara Oliviero
Data used in the paper: "Non-invasive prediction of the mouse tibia mechanical properties from microCT images: comparison between different finite element models"<div>Oliviero, Owen, Reilly, Bellantuono, Dall'Ara<br></div><div>published in BMMB<br></div><div><br></div><div>We share here an example of ex vivo microCT image used for the assessment, and the results obtained from the different analyses.</div><div><br></div><div>Short description of the files included:</div><div><p><br></p><p></p><p></p><p>-microFE_results.xlsx includes:</p><p>Stiffness estimated for each specimen with microFE models, and correlations with experimental data.</p><p>Failure load estimated with microFE models, and correlations with experimental data, for each model type:</p><p>Hexahedral Homogeneous models</p><p>Hexahedral models with subject-specific modulus</p><p>Tedrahedral Homogenous models</p><p>Tetrahedral models with subject-specific modulus</p><p>Hexahedral Heterogeneous models</p><p>Tetrahedral Homogeneous models </p><p><br></p><p>-microCT data:<br></p><p>Example of a segmented microCT image used as input for the microFE model (Specimen1, C57BL/6J, wild type, 16 weeks of age, right tibia).</p><p></p></div><div><br></div><div>In case the reader is interested in the whole database they should contact Dr Enrico Dall'Ara (e.dallara@sheffield.ac.uk).</div>

Funding

The study was partially funded by the UK National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs, Grant Number: NC/R001073/1) and by the Engineering and Physical Sciences Research Council (EPSRC) Frontier Multisim Grants (EP/K03877X/1 and EP/S032940/1). RO was funded by an EPSRC Doctoral Prize Fellowship (EP/N509735/1).

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    Department of Mechanical Engineering

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