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3D Texture Analysis of 3D DESS Cartilage Images for Prediction of Knee Osteoarthritis
Daniel Uher1, Ari Väärälä1, Antti Isosalo1, Victor Casula1,2, and Miika T. Nieminen1,2,3
1Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland, 2Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland, 3Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
3D Texture Analysis of DESS images showed promising predictive capability for the onset of Osteoarthritis occurring within three years. High accuracy (86%) was achieved using Naïve Bayes classifier on selected textural features from tibial cartilage.
Figure 2. Example of the cartilage layers implemented in the 3D Texture Analysis. Blue dashed line represents the thickness of the cartilage. L10, L50, L90 show the layer heights, in which the cartilage was analyzed. SUM represents the full cartilage thickness.
Table 1. Five best performing 3D Texture Analysis outputs (sorted by accuracy) per each layer using Naïve Bayes and selected tibial features.