Cardiac Ventricle Contour Reconstruction in Ultrasonographic Images Using Bayesian Constrained Spectral Method

  • Tomasz Sołtysiński
  • Krzysztof Kałużynski
  • Tadeusz Pałko
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)


We propose a novel method of active spectral segmentation of cardiac ventricle by application of Bayesian inference adapted to contour detection in speckled ultrasonographic cardiological data. We discuss the advantages and limitations of this method and describe possible further developments.


Bayesian Inference Discrete Cosine Transform Inverse Discrete Cosine Transform Active Appearrance Model Cardiac Ventricle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Cheong, H.: Double Fourier series on a sphere: Applications to elliptic and vorticity equations. Jour. of Comp. Physics 157(1), 327–349 (2000)MATHCrossRefMathSciNetGoogle Scholar
  2. 2.
    Dydenko, I., Friboulet, D., Gorce, J.M., D’hooge, J., Bijnens, B., Magnin, I.E.: Towards ultrasound cardiac image segmentation based on the radiofrequency signal. Medical Image Analysis 7, 353–367 (2003)CrossRefGoogle Scholar
  3. 3.
    Fleming, D., Xia, X., McDicken, W.N., Sutherland, G.R., Fenn, L.: Myocardial velocity gradients detected by doppler imaging. Br. J. Radiol. 67, 679–688 (1994)CrossRefGoogle Scholar
  4. 4.
    Hammoude, A.: Endocardial border identification in two-dimensional echocardiografic images: review of methods. Comp. Med. Imag. Graph. 32, 181–193 (1998)CrossRefGoogle Scholar
  5. 5.
    Heimdal, A., Stoylen, A., Torp, H., Skjaerpe, T.: Real-time strain rate imaging of the left ventricle by ultrasound. J. Am. Soc. Echocard. 11, 1013–1019 (1998)CrossRefGoogle Scholar
  6. 6.
    Holschneider, M., Kronland-Martinet, R., Morlet, J., Tchamitchian, P.: A real time algorithm for signal analysis with the help of the wavelet transform. In: Wavelets: Time-Frequency Methods and Phase-Space, pp. 286–297. Springer, Heidelberg (1989)Google Scholar
  7. 7.
    Kowalski, M., Kukulski, T., Jamal, F., D’hooge, J., Weidemann, F., Rademakers, F., Bijnens, B., Hatle, L., Sutherland, G.: Can natural strain and strain rate quantify regional myocardial deformation? A study in healthy subjects. Ultrasound in Med. & Biol. 27(8), 1087–1097 (2001)CrossRefGoogle Scholar
  8. 8.
    Laidlaw, D.H., Fleischer, K.W., Barr, A.H.: Partial volume segmentation with voxel histograms. In: Bankman, I.N. (ed.) Handbook of Medical Imaging, Processing and Analysis, pp. 195–214. Academic Press, London (2000)CrossRefGoogle Scholar
  9. 9.
    Li, J., Hero, A.O.: A Fast Spectral Method for Active 3D Shape Reconstruction. Jour. of Math. Imaging and Vision 20, 73–87 (2004)CrossRefMathSciNetGoogle Scholar
  10. 10.
    Mitchell, S.C., Bosch, J.G., Lelieveldt, B.P.F., van der Geest, R.J., Reiber, J.H.C., Sonka, M.: 3-D Active Appearrance Models: Segmentation of Cardiac MR and Ultrasound Images. IEEE Trans. on Medical Imaging 21(9), 1167–1178 (2002)CrossRefGoogle Scholar
  11. 11.
    Rogowska, J.: Overview and Fundamentals of Medical Image Segmentation. In: Bankman, I.N. (ed.) Handbook of Medical Imaging, Processing and Analysis, pp. 69–86. Academic Press, London (2000)CrossRefGoogle Scholar
  12. 12.
    Soltysinski, T.: Novel algorithm for active surface reconstruction by Bayesian constrained spectral method. In: Hozman, J., Kneppo, P. (eds.) IFMBE Proceedings, Prague: IFMBE, 2005. Proceedings of the 3rd European Medical & Biological Engineering Conference - EMBEC 2005. Prague: IFMBE, 2005, Prague, Czech Republic, 20-25.11.2005, pp. 4191–4195 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tomasz Sołtysiński
    • 1
  • Krzysztof Kałużynski
    • 1
  • Tadeusz Pałko
    • 1
  1. 1.Institute of Precision and Biomedical Engineering, Department of MechatronicsWarsaw University of TechnologyWarsawPoland

Personalised recommendations