1. Ultra-high field diffusion tensor imaging of articular cartilage correlated with histology and scanning electron microscopy.
- Author
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Raya JG, Arnoldi AP, Weber DL, Filidoro L, Dietrich O, Adam-Neumair S, Mützel E, Melkus G, Putz R, Reiser MF, Jakob PM, and Glaser C
- Subjects
- Adult, Anisotropy, Cartilage, Articular ultrastructure, Collagen analysis, Diffusion, Diffusion Magnetic Resonance Imaging methods, Humans, Image Processing, Computer-Assisted methods, Patella anatomy & histology, Patella cytology, Proteoglycans analysis, Proteoglycans ultrastructure, Biomechanical Phenomena physiology, Cartilage, Articular anatomy & histology, Cartilage, Articular cytology, Diffusion Tensor Imaging methods, Microscopy, Electron, Scanning methods
- Abstract
Object: To investigate the relationship of the different diffusion tensor imaging (DTI) parameters (ADC, FA, and first eigenvector (EV)) to the constituents (proteoglycans and collagen), the zonal arrangement of the collagen network, and mechanical loading of articular cartilage., Material and Methods: DTI of eight cartilage-on-bone samples of healthy human patellar cartilage was performed at 17.6 T. Three samples were additionally imaged under indentation loading. After DTI, samples underwent biomechanical testing, safranin-O staining for semiquantitative proteoglycan estimation, and scanning electron microscopy (SEM) for depicting collagen architecture., Results: From the articular surface to the bone-cartilage interface, ADC continuously decreased and FA increased. Cartilage zonal heights calculated from EVs strongly correlated with SEM-derived zonal heights (P < 0.01, r (2)=0.87). Compression reduced ADC in the superficial 30% of cartilage and increased FA in the superficial 5% of cartilage. Reorientation of the EVs indicative of collagen fiber reorientation under the indenter was observed. No significant correlation was found between ADC, FA, and compressive stiffness., Conclusions: Correlating ADC and FA with proteoglycan and collagen content suggests that diffusion is dominated by different depth-dependent mechanisms within cartilage. Knowledge of the spatial distribution of the DTI parameters and their variation contributes to form a database for future analysis of defective cartilage.
- Published
- 2011
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