Directional fractal signature analysis of trabecular bone: evaluation of different methods to detect early osteoarthritis in knee radiographs

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

Volumn 223, Issue 2, 2009, Pages 211-236

  Wolski, M ^a   Podsiadlo, P ^a   Stachowiak, G W ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Fractal signature; Knee osteoarthritis; Radiographs; Trabecular bone

Indexed keywords

BONE ROUGHNESS; FRACTAL ANALYSIS; FRACTAL METHODS; FRACTAL SIGNATURE; FRACTAL SIGNATURES; FRACTAL SURFACES; IMAGE NOISE; IMAGING CONDITIONS; KNEE JOINT; KNEE OSTEOARTHRITIS; NON-INVASIVE; PROJECTION ANGLES; RADIOGRAPHS; REGION OF INTEREST; RELIABLE DECISION; TRABECULAR BONE; TRABECULAR BONES; X-RAY IMAGE;

ANISOTROPY; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; DECISION THEORY; FRACTAL DIMENSION; JOINTS (ANATOMY); RADIOGRAPHY; TEXTURES; X RAY ANALYSIS; X RAY APPARATUS;

BONE;

ARTHROGRAPHY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FRACTAL ANALYSIS; HUMAN; IMAGE QUALITY; KNEE; KNEE OSTEOARTHRITIS; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ARTHROGRAPHY; ARTIFICIAL INTELLIGENCE; FRACTALS; HUMANS; KNEE JOINT; OSTEOARTHRITIS, KNEE; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 63849138549     PISSN: 09544119     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544119JEIM436     Document Type: Article

References (51)

1. Radin, E. L. and Rose, R. M. Role of subchondral bone in the initiation and progression of cartilage damage. Clin. Orthop. Related Res., 1986, 213, 34-40.
2. Kamibayashi, L., Wyss, U. P., Cooke, D. V., and Zee, B. Changes in mean trabecular orientation in the medial condyle of the proximal tibia in osteoarthritis. Calcified Tissue Int., 1995, 57, 69-73.
3. Ding, M., Odgaard, A., and Hvid, I. Changes in the three-dimensional microstructure of human tibial cancellous bone in early osteoarthritis. J. Bone Jt Surg. Br., 2003, 85, 906-912.
4. Bronner, F. and Farach-Carson, M. C. Bone and osteoarthritis, 2007 (Springer-Verlag, London).
5. Kamibayashi, L., Wyss, U. P., Cooke, T. D., and Zee, B. D. Trabecular microstructure in the medial condyle of the proximal tibia of patients with knee osteoarthritis. Bone, 1995, 17, 27-35.
6. Hunter, D. J. and Spector, T. D. The role of bone metabolism in osteoarthritis. Curr. Rheumatology Rep., 2003, 5, 15-19.
7. Buckland-Wright, C. Subchondral bone changes in hand and knee osteoarthritis detected by radiography. Osteoarthritis Cartilage, 2004, 12(Suppl. A), S10-S19.
8. Defossez, H., Hall, R. M., Walker, P. G., Wroblewski, B. M., Siney, P. D., and Purbach, B. Determination of the trabecular bone direction from digitised radiographs. Med. Engng Physics, 2003, 25, 719-729.
9. Podsiadlo, P., Lohmander, L. S., Dahl, L. L., Englund, M., and Stachowiak, G. W. Trabecular bone texture changes in osteoarthritic knees detected by plain radiography and fractal methods. Osteoarthritis Cartilage, 2008, 16, 323-329.
10. Yi, W. J., Heo, M. S., Lee, S., Choi, S., and Huh, K. Direct measurement of trabecular bone anisotropy using directional fractal dimension and principal axes of inertia. Oral Surg., Oral Medicine, Oral Pathology, Oral Radiology Endodontics, 2007, 104, 110-116.
11. Messent, E. A., Ward, R. J., Tonkin, C. J., and Buckland-Wright, C. Tibial cancellous bone changes in patients with knee osteoarthritis. A short-term longitudinal study using fractal signature analysis. Osteoarthritis Cartilage, 2005, 13, 463-470.
12. Majumdar, S., Kothari, M., Augat, P., Newitt, D. C., Link, T. M., Lin, J. C., Lang, T., Lu, Y., and Genant, H. K. High-resolution magnetic resonance imaging - three-dimensional trabecular bone architecture and biomechanical properties. Bone, 1998, 22, 445-454.
13. Pothuaud, L., Benhamou, C. L., Porion, P. L., Lespessailles, E. L., Harba, R. L., and Levitz, P. L. Fractal dimension of trabecular bone projection texture is related to three-dimensional microarchitecture. J. Bone Miner. Res., 2000, 15, 691-699.
14. Dieppe, P., Cushnaghan, J., Young, P., and Kirwan, J. Prediction of the progression of joint space narrowing in osteoarthritis of the knee by bone scintigraphy. Ann. Rheum. Dis., 1993, 52, 557-563.
15. Jennane, R., Harba, R., Lemineur, G., Bretteil, S., Estrade, A., and Benhamou, C. L. Estimation of the 3D self-similarity parameter of trabecular bone from its 2D projection. Med. Image Analysis, 2007, 11 , 91-98.
16. Luo, G., Kinney, J. H., Kaufman, J. J., Haupta, D. J., Chiabrera, A. J., and Siffert, R. S. Relationship between plain radiographic patterns three-dimensional trabecular architecture in the human calcaneus. Osteoporosis Int., 1999, 9, 339-345.
17. Bouxsein, M. L. and Radloff, S. E. Quantitative ultrasound of the calcaneus reflects the mechanical properties of calcaneal trabecular bone. J. Bone Miner. Res., 1997, 12, 39-846.
18. Buckland-Wright, C. Which radiographic techniques should we use for research and clinical practice? Best Practice Res.: Clin Rheumatology, 2006, 20, 39-55.
19. Veenland, J. F., Grashuis, J. L., and Gelsema, E. S. Texture analysis in radiographs - the influence of modulation transfer function and noise on the discriminative ability of texture features. Med. Physics, 1998, 25, 922-936.
20. Geraets, W. G. M. Comparison of two methods for measuring orientation. Bone, 1998, 23, 383-388.
21. Yi, W. J., Heo, M. S., Lee, S., Choi, S., and Huh, K. Comparison of trabecular bone anisotropies based on fractal dimensions and mean intercept length determined by principal axes of inertia. Med. Biol. Engng Computing, 2007, 45, 357-364.
22. Gregory, J. S., Hunold, R. M., Undrill, P. E., and Aspden, R. M. Analysis of trabecular bone structure using Fourier transform and neural networks. IEEE Trans. Inf. Technol. Biomedicine, 1999, 3, 289-294.
23. Benhamou, C. L., Lespessailles, E., Jacquet, G., Harba, R., Jennane, R., Loussot, T., Tourliere, D., and Ohley, W. Fractal organization of trabecular bone images on calcaneus radiographs. J. Bone Miner. Res., 1994, 9, 1909-1918.
24. Fazzalari, N. L. and Parkinson, I. H. Fractal dimension and architecture of trabecular bone. J. Pathology, 1996, 178, 100-105.
25. Parkinson, I. H. and Fazzalari, N. L. H. Methodological principles for fractal analysis of trabecular bone. J. Microsc., 2000, 198, 134-142.
26. Yasar, F. and Akgunlu, F. Fractal dimension and lacunarity analysis of dental radiographs. Denta-maxillofacial Radiology, 2005, 34, 261-267.
27. Chappard, D., Guggenbuhl, P., Legrand, E., Basle, M. F., and Audran, M. Texture analysis of X-ray radiographs is correlated with bone histomorphometry. J. Bone Miner. Metabolism, 2005, 23, 24-29.
28. Keaveny, T. M., Morgan, E. F., Niebur, G. L., and Yeh, O. C. Biomechanics of trabecular bone. Ann. Rev. Biomed. Engng, 2001, 3, 307-333.
29. Jacquet, G., Ohley, W., and Fortin, C. Bone texture characterization by oriented fractal analysis. In Proceedings of the 18th IEEE on Bioengineering, 1992, pp. 22-23 (IEEE, New York).
30. Jiang, C., Giger, M. L., Chinander, M. R., Martell, J. M., Kwaka, S., and Favus, M. J. Characterization of bone quality using computer-extracted radiographic features. Med. Physics, 1999, 26, 872-879.
31. Podsiadlo, P. and Stachowiak, G. W. Analysis of trabecular bone texture by modified Hurst orientation transform method. Med. Physics, 2002, 29, 460-474.
32. Lynch, J. A., Hawkes, D. J., and Buckland-Wright, J. C. A robust and accurate method for calculating the fractal signature of texture in macroradiographs of osteoarthritic knees. Med. Inform. (Lond.), 1991, 16, 241-251.
33. Lynch, J. A., Hawkes, D. J., and Buckland-Wright, J. C. Analysis of texture in macroradiographs of osteoarthritic knees using the fractal signature. Physics Medicine Biology, 1991, 36, 709-722.
34. Podsiadlo, P. and Stachowiak, G. W. The development of the modified Hurst Orientation Transform for the characterization of surface topography of wear particles. Tribology Lett., 1998, 3-4, 215-229.
35. Fisher, Y., McGuire, M., Peitgen, H. O., Saupe, D., Voss, R. F., Barnsley, M. F., Devaney, R. L., and Mandelbrot, B. B. The science of fractal images, 1988 (Springer-Verlag, New York).
36. Russ, J. C. Fractal surfaces, 1994 (Plenum, New York).
37. Geraets, W. G. M. and van der Stelt, P. F. Fractal properties of bone. Dentomaxillofacial Radiology, 2000, 29, 144-153.
38. Veenland, J. F., Grashuis, J. L., van der Meer, F., Beckers, A. L. D., and Gelsema, E. S. Estimation of fractal dimensions in radiographs. Med. Physics, 1996, 23, 565-594.
39. Barnes, G. T. Radiographic mottle: a comprehensive theory. Med. Physics, 1982, 9, 656-667.
40. Curry III, T. S., Dowdey, J. E., Murry Jr, R. C., and Christensen, E. E. Christensen's physics of diagnostic radiology, 4th edition, 1990 (Lippincott Williams and Wilkins, Philadelphia, Pennsylvania).
41. Hendriks, C. L. L. and van Vliet, L. J. Discrete morphology with line structuring elements. In Computer analysis ofimages and patterns, Lecture Notes in Computer Science, vol. 2756, 2003, pp. 722-729 (Springer-Verlag, Berlin).
42. Wilkie, J. R., Giger, M. L., Chinander, M. R. L., Vokes, T. J. L., Li, H. L., Dixon, L. L., and Jaros, V. L. Comparison of radiographic texture analysis from computed radiography and bone densitometry systems. Med. Physics, 2004, 31, 882-891.
43. Jiang, C., Pitt, R. E., Bertram, J. E., and Aneshansley, D. J. Fractal-based image texture analysis of trabecular bone architecture. Med. Biol. Engng Computing, 1999, 37, 413-118.
44. Huang, Q., Lorch, J. R., and Dubes, R. C. Can the fractal dimension of images be measured? Pattern Recognition, 1994, 27, 339-349.
45. Russ, J. C. Light scattering from fractal surfaces. J. Computer Assisted Microsc., 1993, 5, 171-189.
46. Chen, S. S., Keller, J. M., and Crownover, R. M. On the calculation of fractal features from images. IEEE Trans. Pattern Analysis Mach. Intelli., 1993, 5, 1087-1090.
47. Zhou, G. and Lam, N. S.-N. A comparison of fractal dimension estimators based on multiple surface generation algorithms. Computers Geosci., 2005,31, 1260-1269.
48. Peleg, S., Naor, J., Hartley, R., and Avnir, D. Multiple resolution texture analysis and classifiation. IEEE Trans. Pattern Analysis Mach. Intelli., 1984, 6, 518-523.
49. Chen, J., Zheng, B., Chang, Y. H., Shaw, C. C., Towers, J. D., and Gur, D. Fractal analysis of trabecular patterns in projection radiographs: an assessment. Invest. Radiology, 1994, 29, 624-629.
50. Podsiadlo, P., Wolski, M., and Stachowiak, G. W. Automated selection of trabecular bone regions in knee radiographs. Med. Physics, 2008,35,1870-1883.
51. Podsiadlo, P. and Stachowiak, G. W. A rig for acquisition of standardized trabecular bone radiographs. Acta Radiologica, 2002, 43, 101-103.