Tissue Models and Speckle Reduction in Medical Ultrasound Images

  • Radim Kolář
  • Jiří Jan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)


This paper presents a new method for speckle noise reduction in medical ultrasound images. It is based on the statistical description of the envelope of ultrasound signal by the virtue of the Nakagami-m distribution. Parameter of this distribution is used to adjust an adaptive filter.


  1. 1.
    Bamber, J.C., Daft, C.: Adaptive filtering for reduction of speckle in ultrasonic puls-echo images, Ultrasonics, pp. 41–44 (January 1986)Google Scholar
  2. 2.
    Crimmins, T.R.: Geometric filter for speckle reduction. Applied Optics 24(10), 1438–1443 (1985)CrossRefGoogle Scholar
  3. 3.
    Dutt, V.: Statistical Analysis of Ultrasound Echo Envelope, PhD Thesis, The Mayo Graduate Scholl (1995)Google Scholar
  4. 4.
    Insana, M.F., et al.: On the Information Content of Diagnostic Ultrasound. In: Proceedings of the Tenth International Conference on Information Processing in Medical Imaging, pp. 437–455 (1987)Google Scholar
  5. 5.
    Kolář, R., Jiřík, R., Jan, J.: Estimator Comparison of the Nakagami-m Parameter and its Application in Echocardiography. Radioengineering 13(1), 8–12 (2004)Google Scholar
  6. 6.
    Kolář, R., Kozumplík, J.: Noise Suppresion in Ultrasound Images Using Wavelets. In: Proceedings of the International Conference Applied Electronics 2001, Pilsen, September 2001, pp. 130–133 (2001)Google Scholar
  7. 7.
    Shankar, P.M.: Ultrasonic Tissue Characterization Using a Generalized Nakagami Model. IEEE Trans. on Ultrasonics, Ferroelectrics and Frequency Control 48(6), 1716–1720 (2001)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Shankar, P.M.: A General Statistical Model for Ultrasonic Backscattering from Tissues. IEEE Trans. on Ultrasonics, Ferroelectrics and Frequency Control 47(3), 727–736 (2000)CrossRefGoogle Scholar
  9. 9.
    User’s Guide, Image Processing Toolbox, Mathworks, http://www.mathworks.com
  10. 10.
    Zhang, Q.T.: A Note on the Estimation of Nakagami-m Fading Parameter. IEEE Communications Letters 6(6), 237–238 (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Radim Kolář
    • 1
  • Jiří Jan
    • 1
  1. 1.Department of Biomedical Engineering, FEECBrno University of TechnologyCzech Republic

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