中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fast feature-preserving speckle reduction for ultrasound images via phase congruency.

文献类型:期刊论文

作者Zhu, Lei; Wang, Weiming; Qin, Jing; Wong, Kin-Hong; Choi, Kup-Sze; Heng, Pheng-Ann
刊名SIGNAL PROCESSING
出版日期2017
文献子类期刊论文
英文摘要Ultrasonography is widely used in clinical diagnosis and therapeutic procedures, but speckle noise often obscures important features and complicates interpretation and analysis of ultrasound images. In this regard, speckle reduction is a crucial prerequisite of many computer aided ultrasound diagnosis and treatment systems However, removing speckle noise while simultaneously preserving features in ultrasound images is a challenging task. We propose a novel optimization framework for speckle reduction by leveraging the concept of phase congruency and incorporating a feature asymmetry metric into the regularization term of the objective function to effectively distinguish the features and speckle noise. The feature asymmetry metric can productively separate features from speckle noise by analyzing the local frequency information. Compared with traditional methods employing intensity gradients as regularization terms, our framework is invariant to the intensity amplitude of features so that low contrast features are almost equally protected as high contrast features. In addition, rather than adopting the gradient descent, we propose a novel solver by decomposing the Original non convex optimization into solving several linear systems, leading to an efficient solution of the optimization. Owing to different penalties on speckle noise and features, our method can efficiently remove speckle noise and preserve features at the same time. Experiments on simulated and real ultrasound images demonstrate our method can better maintain features with speckle removal than state-of-the-art methods, especially for the low contrast features.
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/11588]  
专题深圳先进技术研究院_集成所
作者单位SIGNAL PROCESSING
推荐引用方式
GB/T 7714
Zhu, Lei,Wang, Weiming,Qin, Jing,et al. Fast feature-preserving speckle reduction for ultrasound images via phase congruency.[J]. SIGNAL PROCESSING,2017.
APA Zhu, Lei,Wang, Weiming,Qin, Jing,Wong, Kin-Hong,Choi, Kup-Sze,&Heng, Pheng-Ann.(2017).Fast feature-preserving speckle reduction for ultrasound images via phase congruency..SIGNAL PROCESSING.
MLA Zhu, Lei,et al."Fast feature-preserving speckle reduction for ultrasound images via phase congruency.".SIGNAL PROCESSING (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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