Research Data Leeds Repository

The Institute of Medical and Biological Engineering Knee Dataset

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/10.5518/826¹

This item is part of the The Institute of Medical and Biological Engineering Knee Dataset² collection.

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 sciences3 H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering4 H000 - Engineering > H100 - General engineering > H140 - Mechanics5
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 Engineering6
Related resources:	Location Type https://doi.org/10.1371/journal.pone.02387857 Publication https://eprints.whiterose.ac.uk/166382/8 Publication https://doi.org/10.1016/j.jmbbm.2023.1056719 Publication https://eprints.whiterose.ac.uk/195260/10 Publication https://doi.org/10.1007/s10237-024-01822-w11 Publication https://eprints.whiterose.ac.uk/209162/12 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/73713
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/0000-0002-3478-566514 University of Leeds https://ror.org/024mrxd33 ror Edwards, Jennifer https://orcid.org/0000-0003-4152-614015 University of Leeds https://ror.org/024mrxd33 ror Fermor, Hazel https://orcid.org/0000-0002-2493-376716 University of Leeds https://ror.org/024mrxd33 ror Fisher, John https://orcid.org/0000-0003-3833-370017 University of Leeds https://ror.org/024mrxd33 ror Herbert, Anthony https://orcid.org/0000-0002-6527-220518 University of Leeds https://ror.org/024mrxd33 ror Ingham, Eileen https://orcid.org/0000-0002-9757-304519 University of Leeds https://ror.org/024mrxd33 ror Jennings, Louise https://orcid.org/0000-0003-1446-451120 University of Leeds https://ror.org/024mrxd33 ror Jones, Alison https://orcid.org/0000-0002-4984-750721 University of Leeds https://ror.org/024mrxd33 ror Mengoni, Marlène https://orcid.org/0000-0003-0986-276922 University of Leeds https://ror.org/024mrxd33 ror Wilcox, Ruth https://orcid.org/0000-0003-2736-710423 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.uk24 Last Modified: 17 Jul 2024 09:03

Files

Documentation

Collection description [2kB] 25 Collection description [2kB] 26 Collection description [2kB] 27 Security: Anyone File name: OptKnee_dataCollection_description.txt28 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

• 1. https://doi.org/10.5518/826
• 2. /view/collections/The_Institute_of_Medical_and_Biological_Engineering_Knee_Dataset.html
• 3. https://archive.researchdata.leeds.ac.uk/view/subjects/C910.html
• 4. https://archive.researchdata.leeds.ac.uk/view/subjects/H160.html
• 5. https://archive.researchdata.leeds.ac.uk/view/subjects/H140.html
• 6. https://archive.researchdata.leeds.ac.uk/view/divisions/IMBE/
• 7. https://doi.org/10.1371/journal.pone.0238785
• 8. https://eprints.whiterose.ac.uk/166382/
• 9. https://doi.org/10.1016/j.jmbbm.2023.105671
• 10. https://eprints.whiterose.ac.uk/195260/
• 11. https://doi.org/10.1007/s10237-024-01822-w
• 12. https://eprints.whiterose.ac.uk/209162/
• 13. https://archive.researchdata.leeds.ac.uk/id/eprint/737
• 14. https://orcid.org/0000-0002-3478-5665
• 15. https://orcid.org/0000-0003-4152-6140
• 16. https://orcid.org/0000-0002-2493-3767
• 17. https://orcid.org/0000-0003-3833-3700
• 18. https://orcid.org/0000-0002-6527-2205
• 19. https://orcid.org/0000-0002-9757-3045
• 20. https://orcid.org/0000-0003-1446-4511
• 21. https://orcid.org/0000-0002-4984-7507
• 22. https://orcid.org/0000-0003-0986-2769
• 23. https://orcid.org/0000-0003-2736-7104
• 24. mailto:r.k.wilcox@leeds.ac.uk
• 25. https://archive.researchdata.leeds.ac.uk/737/1/OptKnee_dataCollection_description.txt
• 26. https://archive.researchdata.leeds.ac.uk/737/1/OptKnee_dataCollection_description.txt
• 27. https://archive.researchdata.leeds.ac.uk/737/1/OptKnee_dataCollection_description.txt
• 28. https://archive.researchdata.leeds.ac.uk/737/1/OptKnee_dataCollection_description.txt