Knee Osteoarthritis Detection Using Power Spectral Density: Data from the OsteoArthritis Initiative

In this paper, an aided diagnosis method for OsteoArthritis (OA) disease using knee X-ray imaging and spectral analysis is presented. The proposed method is based on the Power Spectral Density (PSD) over different orientations of the image as a feature for the classification task. Then, independent component analysis (ICA) is used to select the relevant PSD coefficients for OA detection. Finally, a logistic regression classifier is used to classify 688 knee X-ray images obtained from the Osteoarthritis Initiative (OAI). The proposed diagnosis approach yields classification results up to 78.92% of accuracy (with 79.65% of sensitivity and 78.20% of specificity). Thus, it outperforms several other recently developed OA diagnosis systems.