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Improvement on Quality of Echocardiograms

  • Yukihiro Abiko
  • Takashi Ito
  • Masato Nakajima
Part of the Acoustical Imaging book series (ACIM, volume 23)

Abstract

Recently, since resolution of echo images have gradually improved more accurate tissue characterization utilizing echo images is anticipated. However, quantitative tissue characterization using echocardiograms is difficult in the existing circumstances, because significant deterioration is prevalent in echocardiograms. The primary cause for deterioration in image quality of echocardiograms is speckle noise components that appear on echo images. Since speckle noise is produced by random interference of ultrasonic pulse wave reflected from the body, it does not necessarily coincide with the minute structure of noise within the organic tissue construction itself. Therefore, it is necessary as a preprocess for tissue characterization to improve the quality of images by reducing speckle components without deteriorating the specular components that reflect the organic tissue structure.

Keywords

Speckle Pattern Template Match Cardiac Motion Line Image Acoustical Image 
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

  1. 1.
    G.E. Trahey, J.W. Allison, S.W. Smith, O.T. von Ramm: ”Speckle Reduction Achievable by Spatial Compounding and Frequency Compounding: Experimental Results and Implications for Target Detectability”, International Symposium on Pattern Recognition and Acoustical Imaging, SPIE 768, pp.185–192(1987).ADSCrossRefGoogle Scholar
  2. 2.
    M. Unser, L. Dong, G. Pelle, P. Brun, M. Eden: ”Restoration of echocardiograms using time warping and periodic averaging on a normalized time scale”, Proc. Medical Imaging III; SPIE 1092, pp.84–93(1989).ADSGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Yukihiro Abiko
    • 1
  • Takashi Ito
    • 2
  • Masato Nakajima
    • 1
  1. 1.Department of Electrical EngineeringFaculty of Science and Technology, Keio UniversityJapan
  2. 2.Aloka Co.,Ltd.Japan

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