Advertisement

Knowledge Extraction for Heart Image Segmentation

  • Arkadiusz Tomczyk
  • Piotr S. Szczepaniak
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

This paper focuses on the problem of knowledge extraction, which is necessary to find heart ventricles in computed tomography (CT) images. In the proposed approach potential active contours are used as a segmentation technique. An energy function used during the evolution of contour requires a proper identification of blood inside heart ventricles as well as an approximate localization of intervetricular septum. The methodology effectively allowing to extract that semantic information from the images is described.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. International Journal of Computer Vision 22(1), 61–79 (2000)CrossRefGoogle Scholar
  2. 2.
    Grzeszczuk, R., Levin, D.: Brownian strings: Segmenting images with stochastically deformable models. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(10), 1100–1113 (1997)CrossRefGoogle Scholar
  3. 3.
    Kass, M., Witkin, W., Terzopoulos, S.: Snakes: Active contour models. International Journal of Computer Vision 1(4), 321–333 (1988)CrossRefGoogle Scholar
  4. 4.
    Tadeusiewicz, R., Ogiela, M.R.: Medical Image Understanding Technology. STUDFUZZ, vol. 156. Springer, Heidelberg (2004)zbMATHGoogle Scholar
  5. 5.
    Tomczyk, A.: Image segmentation using adaptive potential active contours. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds.) Proceedings of 5th International Conference on Computer Recognition Systems (CORES 2007). Adavnces in Soft Computing, pp. 148–155. Springer, Heidelberg (October 2007)Google Scholar
  6. 6.
    Tomczyk, A., Wolski, C., Szczepaniak, P.S., Rotkiewicz, A.: Analysis of changes in heart ventricle shape using contextual potential active contours. In: Kurzynski, M., Wozniak, M. (eds.) Proceedings of 6th International Conference on Computer Recognition Systems (CORES 2009). AISC, pp. 397–405. Springer, Heidelberg (2009)Google Scholar
  7. 7.
    Tomczyk, A., Pryczek, M., Walczak, S., Jojczyk, K., Szczepaniak, P.S.: Spatch based active partitions with linguistically formulated energy. Journal of Applied Computer Science 18(1), 87–115 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Arkadiusz Tomczyk
    • 1
  • Piotr S. Szczepaniak
    • 1
  1. 1.Institute of Information TechnologyTechnical University of LodzLodzPoland

Personalised recommendations