由于超声图像中的斑点严重影响了图像质量，也增加了临床诊断与治疗的困难，因此对于噪声图像，往往要先用高斯卷积对图像进行一定的平滑，再通过求微分来检测边缘。为了更好地滤除超声图像中的斑点，通过构造基于高斯卷积的结构张量，并将其引入到各向异性扩散方法中，实验结果表明，这种新的各向异性扩散方法不仅能有效地抑制斑点噪声，而且能检测并保留图像边缘与细节特征。

The Ultrasound images are usually degraded by speckle which brings much difficulties in diagnosis and treatment. In noisy images, the Gaussian convolution is often applied to smooth image and then gray differential is calculated to detect image edges. A structure tensor based on Gaussian convolution is devised and introduced to anisotropic diffusion in order to reduce speckle. Experiment shows that the novel anisotropic diffusion based on structure tensor can reducing speckle, detect and preserve edges and useful details effectively.