Anisotropy of collagen fibre alignment in bovine cartilage: comparison of polarised light microscopy and spatially resolved diffusion-tensor measurements

Autor: Konstantin I. Momot, James M. Pope, Edeline Wentrup-Byrne, Joshua C. Bowden, Llew Rintoul, S.K. de Visser, Thor E. Bostrom
Rok vydání: 2008
Předmět:
Zdroj: Osteoarthritis and Cartilage. 16(6):689-697
ISSN: 1063-4584
DOI: 10.1016/j.joca.2007.09.015
Popis: SummaryObjectiveTo compare collagen fibre alignment angles obtained from polarised light microscopy (PLM) and diffusion-tensor imaging (DTI) in bovine articular cartilage.MethodsFive samples of bovine articular cartilage from five different animals were studied using magnetic resonance imaging and PLM techniques. T2-weighted, diffusion-tensor (DT), and PLM images were acquired for each sample and average depth profiles of the PLM and DTI angles, as well as the banding patterns observed in T2-weighted magnetic resonance (MR) images, were compared. Statistical properties of the distributions of the DTI and PLM angles were examined.ResultsThe samples exhibited a range of alignment morphologies. In the samples with the “conventional” three-zone alignment pattern, a correlation between the PLM and DTI alignment zones and the banding in T2-weighted MR images was observed. The shapes of the depth profiles of the PLM and DTI alignment angles were qualitatively similar for each sample. Three samples showed good quantitative correlation between the DT and PLM alignment angles. The correlation between the diffusion and PLM alignment angles was best in the regions of low degree of disorder of fibre alignment.ConclusionsThis study provides the first quantitative comparison of DTI of cartilage with the more established PLM techniques. The correlation between alignment angles derived from PLM and DTI data was evident across a wide range of alignment morphologies. The results support the use of DTI for the quantitative measurement of collagen fibre alignment. The microscopic-scale (∼10μm) dispersion of fibre alignment angles appears to be an important factor for understanding the extent of quantitative correlation between PLM and DTI results.
Databáze: OpenAIRE