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A spectroscopic approach to imaging and quantification of cartilage lesions in human knee joints
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology. (BioOptico AB, Teknikringen 10, 583 30 Linköping, Sweden)
Linköping University, Faculty of Health Sciences. Linköping University, Department of Clinical and Experimental Medicine, Medical Microbiology.
Keele University School of Medicine, Keele, UK . (The Robert Jones and Agnes Hunt Orthopaedic and District Hospital, Oswestry, UK)
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
2011 (English)In: Physics in Medicine and Biology, ISSN 0031-9155, E-ISSN 1361-6560, Vol. 56, no 6, 1865-1878 p.Article in journal (Refereed) Published
Abstract [en]

We have previously described a technology based on diffuse reflectance of broadband light for measuring joint articular cartilage thickness, utilizing that optical absorption is different in cartilage and subchondral bone. This study is the first evaluation of the technology in human material. We also investigated the prospects of cartilage lesion imaging, with the specific aim of arthroscopic integration. Cartilage thickness was studied ex vivo in a number of sites (n = 87) on human knee joint condyles, removed from nine patients during total knee replacement surgery. A reflectance spectrum was taken at each site and the cartilage thickness was estimated using the blue, green, red and near-infrared regions of the spectrum, respectively. Estimated values were compared with reference cartilage thickness values (taken after sample slicing) using an exponential model. Two-dimensional Monte Carlo simulations were performed in a theoretical analysis of the experimental results. The reference cartilage thickness of the investigated sites was 1.60 ± 1.30 mm (mean ± SD) in the range 0–4.2 mm. Highest correlation coefficients were seen for the calculations based on the near-infrared region after normalization to the red region (r = 0.86) and for the green region (r = 0.80).

Place, publisher, year, edition, pages
IOP , 2011. Vol. 56, no 6, 1865-1878 p.
National Category
Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:liu:diva-66090DOI: 10.1088/0031-9155/56/6/021ISI: 000287848600021OAI: oai:DiVA.org:liu-66090DiVA: diva2:401534
Available from: 2011-03-07 Created: 2011-03-03 Last updated: 2017-12-11Bibliographically approved

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Johansson, AndersSundqvist, TommyÖberg, Åke

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