Speckle Reduction of Echocardiograms via Wavelet Shrinkage of Ultrasonic RF Signals

K. Nakayama, W. Ohyama, T. Wakabayashi, F. Kimura, S. Tsuruoka, K. Sekioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


We propose a new speckle reduction algorithm for clinical echocardiograms. The proposed method employs Wavelet Shrinkage to reduce the noise on an ultrasonic signal. In the wavelet shrinkage, at first, original ultrasonic signal is decomposed into wavelet coefficients by multiresolution decomposition using orthogonal wavelet. A threshold of which objective is suppression of noise component is estimated on the resultant complex wavelet coefficient. Wavelet coefficients corresponding to noise are eliminated by soft-thresholding. The noise reduction by the wavelet shrinkage can remove specific frequency components. In this study, we employed the RI-Spline wavelet that was proposed as a shift-invariant mother wavelet. We conducted experiments using clinical ultrasonic signals to evaluate the noise reduction performance of the proposed method. Ten clinical subjects were used in the experiments. The experimental results show that the algorithm provides superior performance on speckle and noise reduction compared to that of existing speckle reduction method.

Original languageEnglish
Title of host publication13th International Conference on Biomedical Engineering - ICBME 2008
Number of pages4
Publication statusPublished - 2009
Externally publishedYes
Event13th International Conference on Biomedical Engineering, ICBME 2008 - , Singapore
Duration: Dec 3 2008Dec 6 2008

Publication series

NameIFMBE Proceedings
ISSN (Print)1680-0737


Other13th International Conference on Biomedical Engineering, ICBME 2008

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biomedical Engineering


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