A Decision Support System for the Automatic Assessment of Hip Osteoarthritis Severity by Hip Joint Space Contour Spectral Analysis

  • Ioannis Boniatis
  • Dionisis Cavouras
  • Lena Costaridou
  • Ioannis Kalatzis
  • Elias Panagiotopoulos
  • George Panayiotakis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4345)


A decision support system was developed for the grading of hip osteoarthritis (OA) severity. Sixty four hips (18 normal, 46 osteoarthritic) were studied from the digitized radiographs of 32 patients with unilateral or bilateral hip-OA. Hips were allocated into three OA-severity categories, formed accordingly to the Kellgren and Lawrence scale: “Normal”, “Mild-Moderate”, and “Severe”. Employing custom developed algorithms: (i) the radiographic contrast was enhanced, (ii) 64 ROIs, corresponding to patients’ radiographic Hip Joint Spaces (HJSs), were determined, and (iii) Fourier descriptors of the HJS-ROIs boundary were generated. These descriptors were used in the design of a two-level hierarchical decision tree structure, employed for the discrimination of the OA-severity categories. The overall classification accuracies accomplished by the system, regarding the discrimination between: (i) Normal and osteoarthritic hips, and (ii) hips of “Mild-Moderate” OA and of “Severe” OA were 92.2% and 86.0%, respectively. The proposed system may contribute to osteoarthritic patients management.


Decision Support System Fourier Descriptor Pelvic Radiograph Automatic Assessment Discrete Fourier Trans 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ioannis Boniatis
    • 1
  • Dionisis Cavouras
    • 2
  • Lena Costaridou
    • 1
  • Ioannis Kalatzis
    • 2
  • Elias Panagiotopoulos
    • 3
  • George Panayiotakis
    • 1
  1. 1.School of Medicine, Department of Medical PhysicsUniversity of PatrasPatrasGreece
  2. 2.Department of Medical Instrumentation TechnologyTechnological Institute of AthensAthensGreece
  3. 3.School of Medicine, Department of OrthopaedicsUniversity of PatrasPatrasGreece

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