Abstract
Measuring the depth and degeneration dependences of articular cartilage is important for the investigation of cartilage structure and the reason behind its degeneration. In this study, optical coherence tomography (OCT) was used to investigate the depth and degeneration dependences of the refractive index (RI) of articular cartilage collected from bovine patellae in vitro. Eighteen disks of articular cartilage with a diameter of 6.35 mm harvested from different patellae were prepared. Each disk was cut into two halves and three horizontal cartilage slices (n=18×2×3) with approximately equal thickness were further prepared from each half disk. The cartilage slices were digested by two different enzymes, collagenase and trypsin, to remove collagen fibres and proteoglycans, respectively. The samples were tested using OCT before and after the enzyme digestion and the RI for each specimen was calculated. Two-factor repeated measure ANOVA showed that for all the three groups of specimens, the RI in different depths was significantly different (p<0.05). However, it was revealed that the trypsin and collagenase treatments did not exert a significant effect on the RI (p>0.05). The results suggested that the depth dependence of articular cartilage should be taken into account when OCT is used for related measurement.
Original language | English |
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Title of host publication | Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 |
Pages | 4047-4050 |
Number of pages | 4 |
Publication status | Published - 1 Dec 2008 |
Event | 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada Duration: 20 Aug 2008 → 25 Aug 2008 |
Conference
Conference | 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 |
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Country/Territory | Canada |
City | Vancouver, BC |
Period | 20/08/08 → 25/08/08 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Biomedical Engineering
- Health Informatics