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John L. Dart Library
Closed for Maintenance
Phone: (843) 722-7550
West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 766-6635
Folly Beach Library
9 a.m. - 2 p.m.
*open the 2nd and 4th Saturday
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Edgar Allan Poe/Sullivan's Island Library
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Wando Mount Pleasant Library
9 a.m. - 5 p.m.
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Village Library
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Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage.
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- Author(s): Nagarajan, Mahesh B.1; Coan, Paola2; Huber, Markus B.1; Diemoz, Paul C.3; Glaser, Christian4; Wismuller, Axel5
- Source:
IEEE Transactions on Biomedical Engineering. Oct2013, Vol. 60 Issue 10, p2896-2903. 8p.- Subject Terms:
- Source:
- Additional Information
- Abstract: Visualization of ex vivo human patellar cartilage matrix through the phase contrast imaging X-ray computed tomography (PCI-CT) has been previously demonstrated. Such studies revealed osteoarthritis-induced changes to chondrocyte organization in the radial zone. This study investigates the application of texture analysis to characterizing such chondrocyte patterns in the presence and absence of osteoarthritic damage. Texture features derived from Minkowski functionals (MF) and gray-level co-occurrence matrices (GLCM) were extracted from 842 regions of interest (ROI) annotated on PCI-CT images of ex vivo human patellar cartilage specimens. These texture features were subsequently used in a machine learning task with support vector regression to classify ROIs as healthy or osteoarthritic; classification performance was evaluated using the area under the receiver operating characteristic curve (AUC). The best classification performance was observed with the MF features perimeter (AUC: 0.94 \pm 0.08) and “Euler characteristic” (AUC: 0.94 \pm 0.07), and GLCM-derived feature “Correlation” (AUC: 0.93 \pm 0.07). These results suggest that such texture features can provide a detailed characterization of the chondrocyte organization in the cartilage matrix, enabling classification of cartilage as healthy or osteoarthritic with high accuracy. [ABSTRACT FROM PUBLISHER]
- Abstract: Copyright of IEEE Transactions on Biomedical Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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