Computer-aided grading and quantification of hip osteoarthritis severity employing shape descriptors of radiographic hip joint space

Computers in Biology and Medicine

Volumn 37, Issue 12, 2007, Pages 1786-1795

  Boniatis, Ioannis ^a   Cavouras, Dionisis ^b   Costaridou, Lena ^a   Kalatzis, Ioannis ^b   Panagiotopoulos, Elias ^a   Panayiotakis, George ^a  

^a UNIVERSITY OF PATRAS   (Greece)

^b UNIVERSITY OF WEST ATTICA   (Greece)

Author keywords

Classification; Hip; Osteoarthritis; Radiography; Shape

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTER AIDED DIAGNOSIS; IMAGE ANALYSIS; MATHEMATICAL MODELS; RADIOGRAPHY;

HIP OSTEOARTHRITIS (OA) SEVERITY; OSTEOARTHRITIS; RADIOGRAPHIC HIP JOINT SPACES;

ORTHOTICS;

ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DECISION TREE; DIAGNOSTIC ACCURACY; DISEASE SEVERITY; HIP OSTEOARTHRITIS; HIP RADIOGRAPHY; HUMAN; IMAGE PROCESSING; JOINT CAVITY; PATIENT CARE; PRIORITY JOURNAL; QUANTITATIVE DIAGNOSIS; STATISTICAL ANALYSIS;

AGED; AGED, 80 AND OVER; DIAGNOSIS, COMPUTER-ASSISTED; HIP JOINT; HUMANS; MIDDLE AGED; OSTEOARTHRITIS, HIP; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SEVERITY OF ILLNESS INDEX;

EID: 35348920627     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2007.05.005     Document Type: Article

References (36)

1. Stockwell R.A. Cartilage failure in osteoarthritis: relevance of normal structure and function. A review, Clin. Anat. 4 (1990) 161-191
2. Garnero P., and Delmas P.D. Biomarkers in osteoarthritis. Curr. Opin. Rheumatol. 15 (2003) 641-646
3. Peterfy C.G. Imaging of the disease process. Curr. Opin. Rheumatol. 14 (2002) 590-596
4. Altman R.D., Fries J.F., Bloch D.A., Carstens J., Derek Cooke T., Genant H., Gofton P., Groth H., McShane D.J., Murphy W.A., Sharp J.T., Spitz P., Williams C.A., and Wolfe F. Radiographic assessment of progression in osteoarthritis. Arthritis Rheum. 30 (1987) 1214-1225
5. Sun Y., Günther K.P., and Brenner H. Reliability of radiographic grading of osteoarthritis of the hip and knee. Scand. J. Rheumatol. 26 (1997) 155-165
6. Kellgren J.H., and Lawrence J.S. Radiological assessment of osteoarthrosis. Ann. Rheum. Dis. 16 (1957) 494-501
7. Spector T.D., and Cooper C. Radiographic assessment of osteoarthritis in population studies: whither Kellgren and Lawrence?. Osteoarthritis Cartilage 1 (1993) 203-206
8. Pratt W.K. Digital image processing. third ed. (2001), Wiley, New York, Chichester, Weinheim pp. 588-612
9. Theodoridis S., and Koutroumbas K. Pattern Recognition. second ed. (2003), Elsevier Academic Press, Amsterdam pp. 269-319, 13-54, 385-395, 163-205
10. Cherukuri M., Stanley R.J., Long R., Antani S., and Thoma G. Anterior osteophyte discrimination in lumbar vertebrae using size-invariant features. Comput. Med. Imag. Grap. 28 (2004) 99-108
11. Browne M.A., Gaydecki P.A., Gough R.F., Grennan D.M., Khalil S.I., and Mamtora H. Radiographic image analysis in the study of bone morphology. Clin. Phys. Physiol. Meas. 8 (1987) 105-121
12. T.L. Mengko, R.G. Wachjudi, A.B. Suksmono, D. Danudirdjo, Automated detection of unimpaired joint space for knee osteoarthritis assessment, in: Proceedings of 7th International Workshop on Enterprise Networking and Computing in Healthcare Industry, HEALTHCOM 2005, 23-25 June 2005, pp. 400-403.
13. Croft P., Cooper C., Wickham C., and Coggon D. Defining osteoarthritis of the hip for epidemiologic studies. Am. J. Epidemiol. 132 (1990) 514-522
14. Ingvarsson T., Hägglund G., Lindberg H., and Lohmander L.S. Assessment of primary osteoarthritis: comparison of radiographic methods using colon radiographs. Ann. Rheum. Dis. 59 (2000) 650-653
15. Boniatis I., Costaridou L., Cavouras D., Panagiotopoulos E., and Panayiotakis G. Quantitative assessment of hip osteoarthritis based on image texture analysis. Br. J. Radiol. 79 (2006) 232-238
16. I. Boniatis, L. Costaridou, D. Cavouras, I. Kalatzis, E. Panagiotopoulos, G. Panayiotakis, Assessing hip osteoarthritis severity utilizing a Probabilistic Neural Network based classification scheme, Med. Eng. Phys., 29 (2007) 227-237.
17. I. Boniatis, L. Costaridou, D. Cavouras, I. Kalatzis, E. Panagiotopoulos, G. Panayiotakis, Osteoarthritis severity of the hip by computer-aided grading of radiographic images, Med. Biol. Eng. Comput., 44 (2006) 793-803.
18. I. Boniatis, L. Costaridou, D. Cavouras, E. Panagiotopoulos, G. Panayiotakis, A computer-based image analysis method for assessing the severity of hip joint osteoarthritis, Nucl. Instrum. Meth. A, 569 (2006) 610-613.
19. I. Boniatis, L. Costaridou, D. Cavouras, E. Panagiotopoulos, G. Panayiotakis, A morphological descriptors based pattern recognition system for the characterization of hip osteoarthritis severity from x-ray images, in: Book of Abstracts of IMAGING 2006, 27-30 June 2006, Stockholm, Sweden, p. 68.
20. Altman R., Alarcón G., Appelrouth D., et al. The American college of rheumatology criteria for the classification and reporting of osteoarthritis of the hip. Arthritis Rheum. 34 (1991) 505-514
21. Lumiscan 75, system specifications. Lumisys Inc. 1998, 〈http://www.lumisys.com/support/manuals.html〉.
22. Efstathopoulos E.P., Costaridou L., Kocsis O., and Panayiotakis G. A protocol-based evaluation of medical image digitizers. Br. J. Radiol. 74 (2001) 841-846
23. Xu C., and Prince J.L. Snakes, Shapes, and Gradient Vector Flow. IEEE Trans. Image Process. 7 (1998) 359-369
24. Sakellaropoulos P., Costaridou L., and Panayiotakis G. A wavelet based spatially adaptive method for mammographic contrast enhancement. Phys. Med. Biol. 48 (2003) 787-803
25. Sakellaropoulos P., Costaridou L., and Panayiotakis G. An image visualisation tool in mammography. Med. Inform. Internet Med. 24 (1999) 53-73
26. Sakellaropoulos P., Costaridou L., and Panayiotakis G. Using component technologies for web-based wavelet enhanced mammographic image visualization. Med. Inform. Internet Med. 25 (2000) 171-181
27. Conrozier T., Tron A.M., Balblanc J.C., et al. Measurement of the hip joint space using computerized image analysis. Rev. Rhum. Engl. Ed. 60 (1993) 105-111
28. Shapiro L.G., and Stockman G.C. Computer vision (2001), Prentice-Hall, Upper Saddle River, New Jersey pp. 51-91
29. Russ J.C. The image processing handbook. third ed. (1999), Co-published by CRC Press LLC, Boca Raton, Florida and Springer, Heidelberg pp. 509-574
30. Kuncheva L.I. Combining Pattern Classifiers: Methods and Algorithms (2004), Wiley, Hoboken, New Jersey pp. 111-149
31. Sankur B., Kahya Y.P., Güler E.C., and Engin T. Comparison of AR-based algorithms for respiratory sounds classification. Comput. Biol. Med. 24 (1994) 67-76
32. Ahmed N., and Rao K.R. Orthogonal Transforms for Digital Signal Processing (1975), Springer, Berlin, Heidelberg, New York pp. 225-258
33. Goker B., Sancak A., Arac M., Shott S., and Block J.A. The radiographic joint space width in clinically normal hips: effects of age, gender and physical parameters. Osteoarthritis Cartilage 11 (2003) 328-334
34. Campbell M.J., and Machin D. Medical statistics. second ed. (1996), Wiley, Chichester pp. 87-104
35. G. van Belle, L.D. Fisher, P.J. Heagerty, T. Lumley, Biostatistics. A methodology for the health sciences, second ed., Wiley-Interscience, New Jersey, 2004, pp. 25-60
36. Gordon C.L., Wu C., Peterfy C.G., Duryea J., Klifa C., and Genant H.K. Automated measurement of radiographic hip joint space width. Med. Phys. 28 (2001) 267-277