Osteoarthritis severity of the hip by computer-aided grading of radiographic images.
A computer-aided classification system was developed for the assessment of the severity of hip osteoarthritis (OA). Sixty-four radiographic images of normal and osteoarthritic hips were digitized and enhanced. Employing the Kellgren and Lawrence scale, the hips were grouped by three experienced orthopaedists into three OA-severity categories: Normal, Mild/Moderate and Severe. Utilizing custom-developed software, 64 ROIs corresponding to the radiographic Hip Joint Spaces were manually segmented and novel textural features were generated. These features were used in the design of a two-level classification scheme for characterizing hips as normal or osteoarthritic (1st level) and as of Mild/Moderate or Severe OA (2nd level). At each classification level, an ensemble of three classifiers was implemented. The proposed classification scheme discriminated correctly all normal hips from osteoarthritic hips (100% accuracy), while the discrimination accuracy between Mild/Moderate and Severe osteoarthritic hips was 95.7%. The proposed system could be used as a diagnosis decision-supporting tool.
Boniatis
I
I
Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece.
Costaridou
L
L
Cavouras
D
D
Kalatzis
I
I
Panagiotopoulos
E
E
Panayiotakis
G
G
D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008875:Middle Aged; D015207:Osteoarthritis, Hip / Q000000981:diagnostic imaging*; D010363:Pattern Recognition, Automated / Q000379:methods; D011859:Radiography; D012720:Severity of Illness Index