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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

EDGE-PRESERVING SPECKLE TEXTURE REMOVAL BY INTERFERENCE-BASED SPECKLE FILTERING FOLLOWED BY ANISOTROPIC DIFFUSION

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Author(s):
Cardoso, Fernando M. [1] ; Matsumoto, Monica M. S. [2] ; Furuie, Sergio S. [1]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Biomed Engn Lab, Dept Telecommun & Control Engn, Sch Engn, Sao Paulo - Brazil
[2] Univ Sao Paulo, Fac Med, Inst Heart, Hosp Clin, Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: ULTRASOUND IN MEDICINE AND BIOLOGY; v. 38, n. 8 AUG 2012.
Web of Science Citations: 12
Abstract

Ultrasonography has an inherent noise pattern, called speckle, which is known to hamper object recognition for both humans and computers. Speckle noise is produced by the mutual interference of a set of scattered wavefronts. Depending on the phase of the wavefronts, the interference may be constructive or destructive, which results in brighter or darker pixels, respectively. We propose a filter that minimizes noise fluctuation while simultaneously preserving local gray level information. It is based on steps to attenuate the destructive and constructive interference present in ultrasound images. This filter, called interference-based speckle filter followed by anisotropic diffusion (ISFAD), was developed to remove speckle texture from B-mode ultrasound images, while preserving the edges and the gray level of the region. The ISFAD performance was compared with 10 other filters. The evaluation was based on their application to images simulated by Field II (developed by Jensen et al.) and the proposed filter presented the greatest structural similarity, 0.95. Functional improvement of the segmentation task was also measured, comparing rates of true positive, false positive and accuracy. Using three different segmentation techniques, ISFAD also presented the best accuracy rate (greater than 90% for structures with well-defined borders). (E-mail: fernando.okara@gmail.com) (C) 2012 World Federation for Ultrasound in Medicine \& Biology. (AU)

FAPESP's process: 09/12313-8 - Estimation of structures movement based on echographic images
Grantee:Fernando Mitsuyama Cardoso
Support Opportunities: Scholarships in Brazil - Master