Skip to main content
SpringerLink
Log in

Application of Shape Description Methodology to Hand Radiographs Interpretation

  • Conference paper
Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6374))

Included in the following conference series:

Abstract

In this paper, a shape description methodology, introduced by Jakubowski [6] is applied to hand radiographs interpretation, in order to recognize bones borders shapes in the fingers regions. It is shown that the classical approach can be used only for preliminary analysis. Therefore, the improved method, based on fuzzy approach, is considered.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bielecka, M., Skomorowski, M., Bielecki, A.: Fuzzy syntactic approach to pattern recognition and scene analysis. In: Intelligent Control Systems and Optimization, Robotics and Automation, vol. 1, pp. 29–35 (2007)

    Google Scholar 

  2. 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. LNCS, vol. 5495, pp. 469–478. Springer, Heidelberg (2009)

    Google Scholar 

  3. Bielecki, A., Korkosz, M., Wojciechowski, W., Zieliński, B.: Identifying the Borders of the Upper and Lower Metacarpophalangeal Joints Surfaces on Hand Radiographs. In: ICAISC 2010. LNCS (LNAI). Springer, Heidelberg (2010) (accepted)

    Google Scholar 

  4. 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)

    Article  Google Scholar 

  5. Bresenham, J.E.: Algorithm for computer control of a digital plotter. IBM Systems Journal 4(1), 25–30 (1965)

    Article  Google Scholar 

  6. Jakubowski, R.: Extraction of Shape Features for Syntactic Recognition of Mechanical Parts. IEEE Transactions on Systems, Man and Cybernetics 15(5), 642–651 (1985)

    MATH  Google Scholar 

  7. 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 

  8. Kerautret, B., Lachaud, J.O.: Curvature estimation along noisy digital contours by approximate global optimization. Pattern Recognition 42, 2265–2278 (2009)

    Article  MATH  Google Scholar 

  9. Ogiela, M.R., Tadeusiewicz, R., Ogiela, L.: Image languages in intelligent radiological palm diagnostics. Pattern Recognition 39, 2157–2165 (2006)

    Article  MATH  Google Scholar 

  10. 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)

    Article  Google Scholar 

  11. Staniszewska-Varga, J., Szymańska-Jagiełło, W., Luft, S., Korkosz, M.: Rheumatic diseases atlas. Medycyna Praktyczna, Krak”ow (2003) (in Polish)

    Google Scholar 

  12. Tadeusiewicz, R., Ogiela, M.R.: Medical Image Understanding Technology. Studies in Fuzziness and Soft Computing. Springer, Heidelberg (2004)

    MATH  Google Scholar 

  13. 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 

  14. van Aken, J.R.: An Efficient Ellipse-Drawing Algorithm. I.E.E.E. Computer Graphics & Applications 4(9), 24–35 (1984)

    Article  Google Scholar 

  15. Zieliński, B.: A Fully-Automated Algorithm Dedicated to Computing Metacarpophalangeal and Interphalangeal Joint Cavity Widths. Schedae Informaticae 16, 47–67 (2007)

    Google Scholar 

  16. Zieliński, B.: Hand radiograph analysis and joint space location improvement for image interpretation. Schedae Informaticae 17/18, 45–61 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Geoinformatics and Applied Computer Science Faculty of Geology, Geophysics and Environmental Protection AGH University of Science and Technology, Mickiewicza 30, 30-059, Cracow, Poland

    Marzena Bielecka

  2. Institute of Computer Science, Jagiellonian University, Łojasiewicza 6, 30-348, Cracow, Poland

    Andrzej Bielecki, Marek Skomorowski & Bartosz Zieliński

  3. Division of Rheumatology, Departement of Internal Medicine and Gerontology, Jagiellonian University Hospital, Śniadeckich 10, 31-531, Cracow, Poland

    Mariusz Korkosz

  4. Department of Radiology, Cracow University Hospital, Kopernika 19, 31-531, Cracow, Poland

    Wadim Wojciechowski

Authors
  1. Marzena Bielecka
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andrzej Bielecki
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mariusz Korkosz
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Marek Skomorowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Wadim Wojciechowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Bartosz Zieliński
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008 Warsaw, konradw@pjwstk.edu.pl, The Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Polan

    Konrad Wojciechowski

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bielecka, M., Bielecki, A., Korkosz, M., Skomorowski, M., Wojciechowski, W., Zieliński, B. (2010). Application of Shape Description Methodology to Hand Radiographs Interpretation. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15910-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15910-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15909-1

  • Online ISBN: 978-3-642-15910-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation