Echocardiographic Image Analysis Based on the Evaluation of first Order Speckle Statistics

  • E. Steinmetz
  • R. Brennecke
  • I. Schmidtmann
  • R. Erbel
Part of the Acoustical Imaging book series (ACIM, volume 19)

Summary

Basic theoretical considerations on the statistical properties of the speckle phenomenon indicate that a conventional quantization (intervals of uniform width) of the received and envelope detected RF — signal is not adequate. We therefore propose a quantization scheme which is based on the application of quantization intervals producing always the same confidence level (adaptive quantization). The advantages are:
  • homogenous distribution of speckle noise

  • reduction to about 10 – 20 significant quantization levels (with neglectable loss of morphological information)

  • quantitative measure (confidence level) of the separability of regions represented with different quantization levels.

We furthermore succeeded in demonstrating, that the result of the adaptive quantization method is equivalent to the effect of a logarithmic transformation of the envelope detected signal followed by an equidistant quantization of the transformed signal. Application of this method to echocardiographic images confirms, that the adaptive quantization quantitatively improves the visual delineation of contrast enhanced areas.

Keywords

Quantization Scheme Speckle Noise Echocardiographic Image Conventional Quantization Sector Scan 
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.

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References

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    J.W.S. Rayleigh, Theory of sound, Vol. 1. Dover Publications, New York, 1945MATHGoogle Scholar
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    J.W. Goodman,Statistical Optics, Wiley, 1985Google Scholar
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    C.B. Burckhard, Speckle in Ultrasound B-mode scans. IEEE Trans. Son. Ultrason., Vol. SU-25, No. 1, 1 –6, Jan. 1978CrossRefGoogle Scholar
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    R.F. Wagner, S.W. Smith, J.M. Sendrik, H. Lopez, Statistics of Speckle in Ultrasound B-Scans. IEEE Trans. Son. Ultrason., Vol. 30, No. 3, 156 – 163, May 1983CrossRefGoogle Scholar
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    E. Steinmetz, R. Brennecke, et. al., Statistical Techniques for the Detection of Contrast Material Zones in Echocardiographic Sector Scans. Computers in Cardiology, IEEE Computer Society: 357 – 360, 1988Google Scholar

Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • E. Steinmetz
    • 1
  • R. Brennecke
    • 1
  • I. Schmidtmann
    • 2
  • R. Erbel
    • 1
  1. 1.Medical ClinicJohannes Gutenberg-UniversityMainzGermany
  2. 2.Institute for Medical Statistics and Documentation (IMSD)MainzGermany

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