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Proceedings Paper

Characterization of healthy and osteoarthritic chondrocyte cell patterns on phase contrast CT images of the knee cartilage matrix
Author(s): Mahesh B. Nagarajan; Paola Coan; Markus B. Huber; Chien-Chun Yang; Christian Glaser; Maximilian F. Reiser; Axel Wismüller
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Paper Abstract

The current approach to evaluating cartilage degeneration at the knee joint requires visualization of the joint space on radiographic images where indirect cues such as joint space narrowing serve as markers for osteoarthritis. A recent novel approach to visualizing the knee cartilage matrix using phase contrast CT imaging (PCI-CT) was shown to allow direct examination of chondrocyte cell patterns and their subsequent correlation to osteoarthritis. This study aims to characterize chondrocyte cell patterns in the radial zone of the knee cartilage matrix in the presence and absence of osteoarthritic damage through both gray-level co-occurrence matrix (GLCM) derived texture features as well as Minkowski Functionals (MF). Thirteen GLCM and three MF texture features were extracted from 404 regions of interest (ROI) annotated on PCI images of healthy and osteoarthritic specimens of knee cartilage. These texture features were then used in a machine learning task to classify ROIs as healthy or osteoarthritic. A fuzzy k-nearest neighbor classifier was used and its performance was evaluated using the area under the ROC curve (AUC). The best classification performance was observed with the MF features 'perimeter' and 'Euler characteristic' and with GLCM correlation features (f3 and f13). With the experimental conditions used in this study, both Minkowski Functionals and GLCM achieved a high classification performance (AUC value of 0.97) in the task of distinguishing between health and osteoarthritic ROIs. These results show that such quantitative analysis of chondrocyte patterns in the knee cartilage matrix can distinguish between healthy and osteoarthritic tissue with high accuracy.

Paper Details

Date Published: 16 April 2012
PDF: 8 pages
Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 831720 (16 April 2012); doi: 10.1117/12.910919
Show Author Affiliations
Mahesh B. Nagarajan, Univ. of Rochester Medical Ctr. (United States)
Paola Coan, Ludwig-Maximilians-Univ. München (Germany)
Markus B. Huber, Univ. of Rochester Medical Ctr. (United States)
Chien-Chun Yang, Univ. of Rochester Medical Ctr. (United States)
Christian Glaser, Ludwig-Maximilians-Univ. München (Germany)
Maximilian F. Reiser, Ludwig-Maximilians-Univ. München (Germany)
Axel Wismüller, Univ. of Rochester Medical Ctr. (United States)
Ludwig-Maximilians-Univ. München (Germany)

Published in SPIE Proceedings Vol. 8317:
Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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