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Quantitative assessment of hip osteoarthritis based on image texture analysis

¹ University of Patras, School of Medicine, Department of Medical Physics, 265 00 Patras, ² Technological Educational Institute of Athens, Department of Medical Instrumentation Technology, 122 10 Athens, ³ University of Patras, School of Medicine, Department of Orthopaedics, 265 00 Patras, Greece

View larger version (74K): [in a new window]   Figure 1. Example of(a) an original and (b) the corresponding processed digitized radiograph with the contrast-limited adaptive histogram equalization enhancement algorithm.

View larger version (165K): [in a new window]   Figure 2. Hip joint space-region of interest (HJS-ROI) delineation within AOB. A: highest point of the homolateral sacral wing, O: centre of the femoral head, and B: lateral rim of the acetabulum.

View larger version (10K): [in a new window]   Figure 3. Grey scale image of hip joint space region of interest(ROI) delineated in Figure 2.

View larger version (15K): [in a new window]   Figure 4. Hip joint space(HJS)-narrowing index versus pathological grey level non-uniformity (GLNU) textural feature. Solid line is the best line fitted to data points (•). Horizontal solid lines define the regions of osteoarthritis severity. Prediction bounds are denoted by dotted lines.