Advertisement

Modified Jakubowski Shape Transducer for Detecting Osteophytes and Erosions in Finger Joints

  • Marzena Bielecka
  • Andrzej Bielecki
  • Mariusz Korkosz
  • Marek Skomorowski
  • Wadim Wojciechowski
  • Bartosz Zieliński
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6594)

Abstract

In this paper, a syntactic method of pattern recognition is applied to hand radiographs interpretation, in order to recognize erosions and osteophytes in the finger joints. It is shown that, the classical Jakubowski transducer does not distinguish contours of healthy bones from contours of affected bones. Therefore, the modifications of the transducer are introduced. It is demonstrated, that the modified transducer correctly recognizes the classes of bone shapes obtained based on the medical classification: healthy bone class, erosion bone class and osteophyte bone class.

Keywords

Syntactic method of pattern recognition Medical imaging Computer assisted rheumatic diagnosis 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bielecka, M.: Syntactic segmentation of graph function type curves. Machine Graphics and Vision 16, 39–55 (2007)Google Scholar
  2. 2.
    Bielecka, M., Bielecki, A., Korkosz, M., Skomorowski, M., Wojciechowski, W., Zieliński, B.: Application of shape description methodology to hand radiographs interpretation. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010. LNCS, vol. 6374, pp. 11–18. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  3. 3.
    Bielecka, M., Skomorowski, M., Bielecki, A.: Fuzzy syntactic approach to pattern recognition and scene analysis. Intelligent Control Systems and Optimization, Robotics and Automation 1, 29–35 (2007)Google Scholar
  4. 4.
    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., Toivanen, P., Beliczynski, B. (eds.) ICANNGA 2009. LNCS, vol. 5495, pp. 469–478. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  5. 5.
    Bielecki, A., Korkosz, M., Wojciechowski, W., Zieliński, B.: 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.) ICAISC 2010. LNCS, vol. 6113, pp. 589–596. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  6. 6.
    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)CrossRefGoogle Scholar
  7. 7.
    Jakubowski, R.: Syntactic characterization of machine parts shapes. Cybernetics and Systems 13, 1–24 (1982)CrossRefGoogle Scholar
  8. 8.
    Jakubowski, R.: Extraction of shape features for syntactic recognition of mechanical parts. IEEE Transactions on Systems, Man and Cybernetics 15(5), 642–651 (1985)CrossRefzbMATHGoogle Scholar
  9. 9.
    Jakubowski, R.: A structural representation of shape and its features. Information Sciences 39, 129–151 (1986)MathSciNetCrossRefzbMATHGoogle Scholar
  10. 10.
    Jakubowski, R., Bielecki, A., Chmielnicki, W.: Data structure for storing drawing being then analysed for purposes of CAD. Archiwa Informatyki Teoretycznej i Stosowanej 1, 51–70 (1993)Google Scholar
  11. 11.
    Liang, M., Esdaile, J., Klippel, J., Dieppe, P.: Impact and Cost Effectiveness of Rheumatologic Care in Rheumatology. Mosby International, London (1998)Google Scholar
  12. 12.
    Ogiela, M.R., Tadeusiewicz, R., Ogiela, L.: Image languages in intelligent radiological palm diagnostics. Pattern Recognition 39, 2157–2165 (2006)CrossRefzbMATHGoogle Scholar
  13. 13.
    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)CrossRefGoogle Scholar
  14. 14.
    Szczeklik, A., Zimmermann-Górska, I.: Injury Disease (in Polish). Medycyna Praktyczna, Warszawa (2006)Google Scholar
  15. 15.
    Tadeusiewicz, R., Ogiela, M.R.: Medical image understanding technology. Studies in fuzziness and soft computing. Springer, Heidelberg (2004)CrossRefzbMATHGoogle Scholar
  16. 16.
    Tadeusiewicz, R., Ogiela, M.R.: Picture languages in automatic radiological palm interpretation. International Journal of Applied Mathematics and Computer Science 15(2), 305–312 (2005)Google Scholar
  17. 17.
    Zieliński, B.: A fully-automated algorithm dedicated to computing metacarpophalangeal and interphalangeal joint cavity widths. Schedae Informaticae 16, 47–67 (2007)Google Scholar
  18. 18.
    Zieliński, B.: Hand radiograph analysis and joint space location improvement for image interpretation. Schedae Informaticae 17/18, 45–61 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Marzena Bielecka
    • 1
  • Andrzej Bielecki
    • 2
  • Mariusz Korkosz
    • 3
  • Marek Skomorowski
    • 2
  • Wadim Wojciechowski
    • 4
  • Bartosz Zieliński
    • 2
  1. 1.Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental ProtectionAGH University of Science and TechnologyCracowPoland
  2. 2.Institute of Computer ScienceJagiellonian UniversityCracowPoland
  3. 3.Division of Rheumatology, Departement of Internal Medicine and GerontologyJagiellonian University HospitalCracowPoland
  4. 4.Department of RadiologyJagiellonian University HospitalCracowPoland

Personalised recommendations