Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation |
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Authors: | Andrzej Bielecki [Author Vitae] Mariusz Korkosz [Author Vitae] |
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Affiliation: | a Institute of Computer Science, Jagiellonian University, Nawojki 11, 30-072 Kraków, Poland b Division of Rheumatology, Department of Internal Medicine and Gerontology, Jagiellonian University Hospital, ?niadeckich 10, 31-531 Kraków, Poland c Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Reymonta 4, 30-059 Kraków, Poland |
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Abstract: | In this paper, the first stage of studies concerning the computer analysis of hand X-ray digital images is described. The images are preprocessed and then skeletization of the fingers is carried out. Then, the interphapangeal and metacarpophalangeal joints are detected and contoured. Joint widths are also measured. The obtained results largely concur with those obtained by other authors—see Beier et al. [Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme, Proc. SPIE 5747 (2005) 546-555], Klooster et al. [Automatic quantification of osteoarthritis in hand radiographs: validation of a new method to measure joint space width, Osteoarthritis and Cartilage 16 (1) (2008) 18-25], Ogiela et al. [Image languages in intelligent radiological palm diagnostics, Pattern Recognition 39 (2006) 2157-2165] and Ogiela and Tadeusiewicz [Picture languages in automatic radiological palm interpretation, Int. J. Appl. Math. Comput. Sci. 15 (2) (2005) 305-312]. |
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Keywords: | Image processing Medical imaging Thresholding Thinning Radiology Rheumatoid arthritis X-ray photo Joint space width |
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