caa a22 4500 606204776 CHVBK 20210128101004.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00034-014-9829-y doi (NATIONALLICENCE)springer-10.1007/s00034-014-9829-y Comparison of Despeckle Filters for Breast Ultrasound Images [Elektronische Daten] [Ju Zhang, Chen Wang, Yun Cheng] 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. Springer Science+Business Media New York, 2014 Despeckle comparison nationallicence Ultrasound image nationallicence Speckle noise nationallicence Image quality metrics nationallicence Zhang Ju College of Information Engineering, Zhejiang University of Technology, No. 288, Liuhe Road, Xihu District, 310032, Hangzhou, People's Republic of China aut Wang Chen College of Information Engineering, Zhejiang University of Technology, No. 288, Liuhe Road, Xihu District, 310032, Hangzhou, People's Republic of China aut Cheng Yun Department of Ultrasound, Zhejiang Hospital, No. 12 Lingyin Road, Xihu District, 310013, Hangzhou, People's Republic of China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/1(2015-01-01), 185-208 0278-081X 34:1<185 2015 34 34 https://doi.org/10.1007/s00034-014-9829-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9829-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Ju College of Information Engineering, Zhejiang University of Technology, No. 288, Liuhe Road, Xihu District, 310032, Hangzhou, People's Republic of China aut NATIONALLICENCE 700 1- Wang Chen College of Information Engineering, Zhejiang University of Technology, No. 288, Liuhe Road, Xihu District, 310032, Hangzhou, People's Republic of China aut NATIONALLICENCE 700 1- Cheng Yun Department of Ultrasound, Zhejiang Hospital, No. 12 Lingyin Road, Xihu District, 310013, Hangzhou, People's Republic of China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/1(2015-01-01), 185-208 0278-081X 34:1<185 2015 34 34