Data for the paper: "Optimization of the failure criterion in micro-Finite Element models of the mouse tibia for the non-invasive prediction of its failure load in preclinical applications"
-Densitometric parameters, and correlations with experimental mechanical data, calculated for each specimen and each region of interest
Total = total volume of interest (80% of tibia length)
10 Longitudinal sections: section 1 corresponds to proximal tibia, section 10 corresponds to distal tibia
Sectors: anterior (A), posterior (P), medial (M) and lateral (L)
-Morphometric parameters calculated for each specimen, and correlations with experimental mechanical data.
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 failure criterion:
Compression: tibia fails when a portion of the nodes (failure volume) reaches a critical compressive (third principal) strain level
Tension: tibia fails when a portion of the nodes reaches a critical tensile (first principal) strain level
Compression&Tension: tibia fails when a portion of the nodes reaches a critical strain, either in tension or in compression
Sections: tibia fails when the median first principal strain or third principal strain in one section (tibia divided into ten portions) or in one sector (tibia divided into ten sections and each section divided into anterior and posterior partitions; 20 portions in total) reaches a critical strain level
Example of a segmented microCT image used as input for the microFE model (Specimen1, C57BL/6J, wild type, 16 weeks of age, right tibia).
Read the peer-reviewed publication
The study was partially funded by the UK National Centre for the Replacement, Refinement and 4 Reduction of Animals in Research (NC3Rs, Grant number: NC/R001073/1) and by the Engineering 5 and Physical Sciences Research Council (EPSRC) Frontier Multisim Grant (EP/K03877X/1 and 6 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