This paper presents a new denoising method for ultrasound medical image in restoration domain. The approach is based on analysis in Dual-tree wavelet Transform (DT-CWT). Speckle noise degrades the detectability of low-contrast lesions. So, it affects the tasks of human interpretation and diagnosis. Various methods have been developed in the literature; most of them used only the standard wavelet transform (DWT). However, the Discrete Wavelet Transform (DWT) has some disadvantages that undermines its application in image processing. In this study we investigated a performances complex wavelet transform (DT-CWT) combined with Bivariate Shrinkage and Visu-shrinkage. The proposed method was tested on a noisy ultrasound medical image, and the restored images show a great effectiveness of DT-CWT method compared to the classical DWT.