Speckle Reduction in Ultrasound Imaging

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The research explores a novel compounding method utilizing wavelet shrinkage denoising (WSD) to effectively reduce speckle noise in ultrasound images. By decomposing radio-frequency signals into subsignals, the method enhances image quality through envelope detection and summation. Optimal weighting coefficients are determined by differentiating the contrast noise ratio (CNR), further improving results. The performance of this approach is quantitatively and qualitatively evaluated against existing methods using both phantom and in vivo data, demonstrating its effectiveness in noise reduction and image enhancement.