Comparison of Despeckle Filters for Breast Ultrasound Images

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• 作者：Ju Zhang (1)
  Chen Wang (1)
  Yun Cheng (2)
  
  1. College of Information Engineering ; Zhejiang University of Technology ; No. 288 ; Liuhe Road ; Xihu District ; Hangzhou聽 ; 310032 ; People鈥檚 Republic of China
  2. Department of Ultrasound ; Zhejiang Hospital ; No. 12 Lingyin Road ; Xihu District ; Hangzhou聽 ; 310013 ; People鈥檚 Republic of China
  
• 关键词：Despeckle comparison ; Ultrasound image ; Speckle noise ; Image quality metrics
• 刊名：Circuits, Systems, and Signal Processing
• 出版年：2015
• 出版时间：January 2015
• 年：2015
• 卷：34
• 期：1
• 页码：185-208
• 全文大小：1,665 KB
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• 刊物类别：Engineering
• 刊物主题：Electronic and Computer Engineering
  
• 出版者：Birkh盲user Boston
• ISSN：1531-5878

文摘

It is well known that the quality of ultrasound image is significantly degraded by the speckle noise, which has restricted the development of automatic diagnostic techniques for ultrasound images, especially for the breast ultrasound images. This necessitates the need to choose an optimal speckle filtering algorithm for the specific clinical application with different required criteria. In this paper, the study focuses on the comparison of despeckle filters for the breast ultrasound images. Firstly, the models of speckle noise for medical ultrasound images are discussed. After that, eleven despeckle filters which are classified into five categories (local adaptive filter, anisotropic diffusion filter, multi-scale filter, nonlocal means filter, and hybrid filter) are described. Then, the comparative experiments of eleven despeckle filters for the two types of simulated images and clinical ultrasound breast images are presented. Finally, to objectively and systematically compare the performance of eleven despeckle filters, several comparison methods are used, such as the full-reference image quality metrics, the nonreference/blind image quality metrics, observing the removed noise images, as well as the visual evaluation of experts.