Research Data Leeds Repository

Citation

Conaghan, Philip and Edwards, Jennifer and Fermor, Hazel and Fisher, John and Herbert, Anthony and Ingham, Eileen and Jennings, Louise and Jones, Alison and Mengoni, Marlène and Wilcox, Ruth (2020) The Institute of Medical and Biological Engineering Knee Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/826

Dataset description

This data collection contains all MR and CT images collected on cadaveric knees, as well as corresponding outcomes of computational and experimental preclinical models developed to test existing and emerging knee therapies (ethics REC 18/EM/0224).

Keywords:	knee, engineering, preclinical, CT, MRI, simulation
Subjects:	C000 - Biological sciences > C900 - Others in Biological Sciences > C910 - Applied biological sciences H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering H000 - Engineering > H100 - General engineering > H140 - Mechanics
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
Related resources:	Location Type https://doi.org/10.1371/journal.pone.0238785 Publication https://eprints.whiterose.ac.uk/166382/ Publication https://doi.org/10.1016/j.jmbbm.2023.105671 Publication https://eprints.whiterose.ac.uk/195260/ Publication https://doi.org/10.1007/s10237-024-01822-w Publication https://eprints.whiterose.ac.uk/209162/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	02 Sep 2020 12:57
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/737
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Conaghan, Philip https://orcid.org/0000-0002-3478-5665 University of Leeds https://ror.org/024mrxd33 ror Edwards, Jennifer https://orcid.org/0000-0003-4152-6140 University of Leeds https://ror.org/024mrxd33 ror Fermor, Hazel https://orcid.org/0000-0002-2493-3767 University of Leeds https://ror.org/024mrxd33 ror Fisher, John https://orcid.org/0000-0003-3833-3700 University of Leeds https://ror.org/024mrxd33 ror Herbert, Anthony https://orcid.org/0000-0002-6527-2205 University of Leeds https://ror.org/024mrxd33 ror Ingham, Eileen https://orcid.org/0000-0002-9757-3045 University of Leeds https://ror.org/024mrxd33 ror Jennings, Louise https://orcid.org/0000-0003-1446-4511 University of Leeds https://ror.org/024mrxd33 ror Jones, Alison https://orcid.org/0000-0002-4984-7507 University of Leeds https://ror.org/024mrxd33 ror Mengoni, Marlène https://orcid.org/0000-0003-0986-2769 University of Leeds https://ror.org/024mrxd33 ror Wilcox, Ruth https://orcid.org/0000-0003-2736-7104 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/P001076/1 Publication date: 2020 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: r.k.wilcox@leeds.ac.uk Last Modified: 17 Jul 2024 09:03

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Documentation

Collection description [2kB] Collection description [2kB] Collection description [2kB] Security: Anyone File name: OptKnee_dataCollection_description.txt Content type: Documentation Description: Description of the research and content of data collection. Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB