Abstract
In this paper, the next stage of out studies concerning the computer analysis of hand X-ray digital images is described. An algorithm identifying the borders of the upper and lower joint surfaces on hand radiographs is proposed. It is based on local segmentation and profile plots analysis. The described algorithm achieved high efficiency - mean distance distribution signature for complete borders was equal to 0.118mm. Therefore, it can be applied both to trace development of hand joints diseases and analysis of bone contour shapes using syntactic methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bielecka, M., Skomorowski, M., Zieliński, B.: A fuzzy shape descriptor and inference by fuzzy relaxation with application to description of bones contours at hand radiographs. In: Kolehmainen, M., et al. (eds.) ICANNGA 2009. LNCS, vol. 5495, pp. 469–478. Springer, Heidelberg (2009)
Bielecki, A., Korkosz, M., Zieliński, B.: Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation. Pattern Recognition 41(12), 3786–3798 (2008)
Huang, Q., Dom, B.: Quantitative methods of evaluating image segmentation. In: International Conference on Image Processing, vol. 3, pp. 53–56 (1995)
Kauffman, J.A., Slump, C.H., Bernelot Moens, H.J.: Segmentation of hand radiographs by using multi-level connected active appearance models. In: Proceedings of the SPIE, vol. 5747, pp. 1571–1581 (2005)
Sharp, J., Gardner, J., Bennett, E.: Computer-based methods for measuring joint space and estimating erosion volume in the finger and wrist joints of patients with rheumatoid arthritis. Arthritis & Rheumatism 43(6), 1378–1386 (2000)
Staniszewska-Varga, J., Szymańska-Jagiełło, W., Luft, S., Korkosz, M.: Rheumatic diseases atlas. Practical Medicine Publishing House, Cracow (2003) (in Polish)
Tadeusiewicz, R., Ogiela, M.: Picture languages in automatic radiological palm interpretation. International Journal of Applied Mathematics and Computer Science 15(2), 305–312 (2005)
Zieliński, B.: A Fully-Automated Algorithm Dedicated to Computing Metacarpophalangeal and Interphalangeal Joint Cavity Widths. Schedae Informaticae 16, 47–67 (2007)
Zieliński, B.: Hand radiograph analysis and joint space location improvement for image interpretation. Schedae Informaticae 17/18, 45–61 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bielecki, A., Korkosz, M., Wojciechowski, W., Zieliński, B. (2010). Identifying the Borders of the Upper and Lower Metacarpophalangeal Joint Surfaces on Hand Radiographs. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_73
Download citation
DOI: https://doi.org/10.1007/978-3-642-13208-7_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13207-0
Online ISBN: 978-3-642-13208-7
eBook Packages: Computer ScienceComputer Science (R0)