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Speckle reduction based on contourlet transform using scale adaptive threshold for medical ultrasound image

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Abstract

A new speckle suppression method in contourlet domain was presented. By modeling the subband contourlet coefficients of the ultrasound images after logarithmic transform as generalized Gaussian distribution (GGD), we gave a scale-adaptive threshold in Bayesian framework. Experimental results of both synthetic and clinical ultrasound images show that our method has a better performance on speckle suppressing than the wavelet-based method while well preserving the feature details.

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Authors and Affiliations

  1. Biomedical Instrument Institute, Shanghai Jiaotong University, Shanghai, 200240, China

    Xiao-yang Song  (宋晓阳), Ya-zhu Chen  (陈亚珠), Su Zhang  (张素) & Wei Yang  (阳维)

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  1. Xiao-yang Song  (宋晓阳)
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  2. Ya-zhu Chen  (陈亚珠)
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  3. Su Zhang  (张素)
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  4. Wei Yang  (阳维)
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Corresponding author

Correspondence to Xiao-yang Song  (宋晓阳).

Additional information

Foundation item: the National Basic Research Program (973) of China (No. 2003CB716103)

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Song, Xy., Chen, Yz., Zhang, S. et al. Speckle reduction based on contourlet transform using scale adaptive threshold for medical ultrasound image. J. Shanghai Jiaotong Univ. (Sci.) 13, 553–558 (2008). https://doi.org/10.1007/s12204-008-0553-2

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  • DOI: https://doi.org/10.1007/s12204-008-0553-2

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