Abstract
This paper presents a new method to characterize the texture of gray level bone radiographic images. The technique is inspired from the Local Binary Pattern descriptor which has been classically applied on two dimensional (2D) images. Our algorithm is a derived solution for the 1D projected fields of the 2D images. The method requires a series of preprocessing of images. A clinical study is led on two populations of osteoporotic and control patients. The results show the ability of our technique to better discriminate the two populations than the classical LBP method. Moreover, they show that the structural organization of bone is more anisotropic for the osteoporotic cases than that of the control cases in accordance with the natural evolution of bone tissue linked to osteoporosis.
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References
Johnell, O.: The socioeconomic burden of fractures: today and in the 21st century. Am. J. Med. 103(2A), 20S–25S (1997) (discussion 25S–26S)
Cooper, C., Campion, G., Melton, L.J.: Hip fractures in the elderly: a world-wide projection. Osteoporos Int. 2(6), 285–289 (1992)
Gullberg, B., Johnell, O., Kanis, J.A.: World-wide projections for hip fracture. Osteoporos Int. 7(5), 407–413 (1997)
NIH: Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis. Am. J. Med. 94(6), 646–650 (1993)
Genant, H.K., Engelke, K., Fuerst, T., Gler, C.C., Grampp, S., Harris, S.T., Jergas, M., Lang, T., Lu, Y., Majumdar, S., Mathur, A., Takada, M.: Noninvasive assessment of bone mineral and structure: state of the art. J. Bone Miner. Res. 11(6), 707–730 (1996)
Dempster, D.W.: The contribution of trabecular architecture to cancellous bone quality. J. Bone Miner. Res. 15(1), 20–23 (2000)
Compston, J.E., Mellish, R.W., Garrahan, N.J.: Age-related changes in iliac crest trabecular microanatomic bone structure in man. Bone 8(5), 289–292 (1987)
Parfitt, A.M., Drezner, M.K., Glorieux, F.H., Kanis, J.A., Malluche, H., Meunier, P.J., Ott, S.M., Recker, R.R.: Bone histomorphometry: standardization of nomenclature, symbols, and units. report of the asbmr histomorphometry nomenclature committee. J. Bone Miner. Res. 2(6), 595–610 (1987)
Geraets, W.G., Van der Stelt, P.F., Netelenbos, C.J., Elders, P.J.: A new method for automatic recognition of the radiographic trabecular pattern. J. Bone Miner. Res. 5(3), 227–233 (1990)
Link, T.M., Majumdar, S., Lin, J.C., Augat, P., Gould, R.G., Newitt, D., Ouyang, X., Lang, T.F., Mathur, A., Genant, H.K.: Assessment of trabecular structure using high resolution ct images and texture analysis. J. Comput. Assist. Tomogr. 22(1), 15–24 (1998)
Cohen, F.S., Fan, Z., Patel, M.A.: Classification of rotated and scaled textured images using gaussian markov random field models. IEEE Transactions on Pattern Analysis and Machine Intelligence 13(2), 192–202 (1991)
Grigorescu, S.E., Petkov, N., Kruizinga, P.: Comparison of texture features based on gabor filters. IEEE Trans. Image Process 11(10), 1160–1167 (2002)
Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(7), 971–987 (2002)
Varma, M., Zisserman, A.: A statistical approach to material classification using image patch exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 31(11), 2032–2047 (2009)
Ahonen, T., Pietikäinen, M.: Image description using joint distribution of filter bank responses. Pattern Recognition Letters 30(4), 368–376 (2009)
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Houam, L., Hafiane, A., Jennane, R., Boukrouche, A., Lespessailles, E. (2010). Trabecular Bone Anisotropy Characterization Using 1D Local Binary Patterns. In: Blanc-Talon, J., Bone, D., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2010. Lecture Notes in Computer Science, vol 6474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17688-3_11
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DOI: https://doi.org/10.1007/978-3-642-17688-3_11
Publisher Name: Springer, Berlin, Heidelberg
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