Wavelet Decomposition Based Speckle Reduction Method for Ultrasound Images by Using Speckle Reducing Anisotropic Diffusion

In this paper, we introduce the modified speckle reducing anisotropic diffusion(SRAD) that uses wavelet decomposition for speckle reduction in medical ultrasound(US) images. As a first step of our approach, the coarse-to-fine classification is performed into each 2D wavelet sub-band to determine homogenous speckle-related region. Next, SRAD Is played on each wavelet sub-band that uses investigated speckle regions as scale speckle function. With speckle determination, homogenous region can be details calculated without manual selection or preliminary exponential decal, function. Moreover, variety pattern of speckle is reduced by the proposed modified SRAD on multiscale wavelet. Relying on this progress, the proposed method can improve the image quality for both subjective visualization and auto-segmentation. Finally, we validate our method to compare with current speckle reduction filters using simulated speckle images and clinical image. The experimental results show that the proposed method is effective in speckle reduction as well as edge preservation.