Sarin, J. K., Torniainen, J., Prakash, M., Rieppo, L., Afara, I. O., Töyräs, J. (2019) Dataset on equine cartilage near infrared spectra, composition, and functional properties. Scientific Data, 6; 164. doi: 10.1038/s41597-019-0170y
Dataset on equine cartilage near infrared spectra, composition, and functional properties
|Author:||Sarin, Jaakko K.1,2; Torniainen, Jari1,2; Prakash, Mithilesh1,2,3;|
1Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
2Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
3A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finlan
4Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
5School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
|Online Access:||PDF Full Text (PDF, 2.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019091928928
|Publish Date:|| 2019-09-20
Near infrared (NIR) spectroscopy is a well-established technique that is widely employed in agriculture, chemometrics, and pharmaceutical engineering. Recently, the technique has shown potential in clinical orthopaedic applications, for example, assisting in the diagnosis of various knee-related diseases (e.g., osteoarthritis) and their pathologies. NIR spectroscopy (NIRS) could be especially useful for determining the integrity and condition of articular cartilage, as the current arthroscopic diagnostics is subjective and unreliable. In this work, we present an extensive dataset of NIRS measurements for evaluating the condition, mechanical properties, structure, and composition of equine articular cartilage. The dataset contains NIRS measurements from 869 different locations across the articular surfaces of five equine fetlock joints. A comprehensive library of reference values for each measurement location is also provided, including results from a mechanical indentation testing, digital densitometry imaging, polarized light microscopy, and Fourier transform infrared spectroscopy. The published data can either be used as a model of human cartilage or to advance equine veterinary research.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
217 Medical engineering
Doctoral Programme in Science, Technology and Computing (SCITECO) of University of Eastern Finland, Kuopio University Hospital (VTR projects 5041750, 5041744, 5041778, and 5203111, PY210 Clinical Neurophysiology), the Academy of Finland (projects 267551, 310466, and 315820), Orion Research Foundation sr, and Finnish foundation of technology promotion (project 8193) financially supported this study.
|Academy of Finland Grant Number:||
310466 (Academy of Finland Funding decision)
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