Wavelet-Based Statistical Approach for Speckle Reduction in Medical Ultrasound Images

Topics:
Healthcare Services
Tags:
Business Operations,
Coefficient,
Method,
Novel Speckle-reduction Method,
Research & Development
Source:
International Federation for Medical and Biological Engineering

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Overview: A novel speckle-reduction method is introduced, based on soft thresholding of the wavelet coefficients of a logarithmically transformed medical ultrasound image. The method is based on the generalized Gaussian distributed (GGD) modeling of sub-band coefficients. The method used was a variant of the recently published BayesShrink method by Chang and Vetterli, derived in the Bayesian framework for denoising natural images. It was scale adaptive, because the parameters required for estimating the threshold depend on scale and sub-band data. The threshold was computed by Ks2=sx, where s and sx were the standard deviation of the noise and the sub-band data of the noise-free image, respectively, and Kwas a scale parameter.

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Format: PDF | Size: 352KB | Date: Mar 2004 | Pages: 4

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