Research Data Leeds Repository

Bovine intervertebral disc bulge characterisation

Citation

Mengoni, Marlène and Wilcox, Ruth (2019) Bovine intervertebral disc bulge characterisation. University of Leeds. [Dataset] https://doi.org/10.5518/586

Dataset description

Combined experimental and computational study of mechanical behaviour of bovine intervertebral disc, measuring disc bulge under compression. Experimental data: microCT images and mechanical data of axially loaded samples of bovine tail osteodiscs (N=6x5 loading points), MR images of unloaded samples (N=6); Computational data: FE model of samples using unloaded imaging data, with 3 reconstruction methods (N=6x3) ; Results data from two calibration methods (N=6x3x2): load and bulge computational values

Additional information: Please note that optimisationOutputs.csv was replaced with an updated version of the file on 23/04/2021 | Files in this dataset are licensed individually. The majority are under CC-BY EXCEPT MengoniEtAl_meshAnalysis.docx which is licensed under CC-BY-NC-SA.
Keywords: spine, mechanical testing, imaging
Subjects: H000 - Engineering > H100 - General engineering
H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
Divisions: Faculty of Biological Sciences > Institute of Medical and Biological Engineering
Faculty of Engineering and Physical Sciences > Institute of Medical and Biological Engineering
Faculty of Engineering and Physical Sciences > School of Mechanical Engineering > Institute of Medical and Biological Engineering

Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Related resources:
LocationType
https://doi.org/10.3389/fbioe.2021.661469Publication
https://eprints.whiterose.ac.uk/161897/Publication
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Date deposited: 21 Aug 2019 20:06
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/564

Files

Documentation

Data

Research Data Leeds Repository is powered by EPrints
Copyright © University of Leeds