Data for the paper: "Non-invasive prediction of the mouse tibia mechanical properties from microCT images: comparison between different finite element models"
datasetposted 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"
Oliviero, Owen, Reilly, Bellantuono, Dall'Ara
published in BMMB
We share here an example of ex vivo microCT image used for the assessment, and the results obtained from the different analyses.
Short description of the files included:
Stiffness estimated for each specimen with microFE models, and correlations with experimental data.
Failure load estimated with microFE models, and correlations with experimental data, for each model type:
Hexahedral Homogeneous models
Hexahedral models with subject-specific modulus
Tedrahedral Homogenous models
Tetrahedral models with subject-specific modulus
Hexahedral Heterogeneous models
Tetrahedral Homogeneous models
Example of a segmented microCT image used as input for the microFE model (Specimen1, C57BL/6J, wild type, 16 weeks of age, right tibia).
In case the reader is interested in the whole database they should contact Dr Enrico Dall'Ara (firstname.lastname@example.org).
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).
EthicsThere is no personal data or any that requires ethical approval
PolicyThe data complies with the institution and funders' policies on access and sharing
Sharing and access restrictionsThe data can be shared openly
- The file formats are open or commonly used
Methodology, headings and units
- Headings and units are explained in the files