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Proceedings Paper

Non-subsampled contourlet transform based spatially adaptive shrinkage for speckle reduction of medical ultrasound image
Author(s): Chengzhi Deng; Shengqian Wang
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Paper Abstract

Speckle is a multiplicative noise that degrades ultrasound images. In this paper, a statistical spatially adaptive approach for speckle reduction in medical ultrasound images based posterior conditional means (PCM) estimation in the nonsubsampled contourlet domain is proposed. In this framework, a new class of statistical model for nonsubsampled contourlet coefficients is proposed. And the proposed method uses the Gaussian distribution for speckle noise and normal inverse Gaussian distribution for modeling the statistics of nonsubsampled contourlet coefficients in a logarithmically transformed ultrasound images. Experiments are carried out using synthetically speckled and real ultrasound images. The experimental results demonstrate that the proposed method performs better than several other existing methods in terms of quantitative performance as well as in term of visual quality of the images.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972J (30 October 2009); doi: 10.1117/12.832430
Show Author Affiliations
Chengzhi Deng, Nanchang Institute of Technology (China)
Shengqian Wang, Nanchang Institute of Technology (China)

Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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