Adaptive speckle reduction of ultrasound images based on maximum likelihood estimation

A method has been developed in this paper to gain effective speckle reduction in medical ultrasound images.To exploit full knowledge of the speckle distribution, here maximum likelihood was used to estimate speckle parameters corresponding to its statistical mode. Then the results were incorporated into the nonlinear anisotropic diffusion to achieve adaptive speckle reduction. Verified with simulated and ultrasound images,we show that this algorithm is capable of enhancing features of clinical interest and reduces speckle noise more efficiently than just applying classical filters. To avoid edge contribution, changes of contrast-to-noise ratio of different regions are also compared to investigate the performance of this approach.

作 者： 劉旭 黃永鋒 壽文德 應(yīng)濤   作者單位： 劉旭,黃永鋒,壽文德(Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200030)

應(yīng)濤(Department of Ultrasound Imaging, Shanghai Sixth People's Hospital, Shanghai 200233) 

刊 名： 中國光學(xué)快報(bào)(英文版)  ISTIC EI 英文刊名： CHINESE OPTICS LETTERS  年，卷(期)： 2004 2(1)  分類號(hào)：   關(guān)鍵詞：  

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