Feature-preserving ultrasound speckle reduction via L-0 minimization.
文献类型：期刊论文
| 作者 | Zhu, Lei; Wang, Weiming; Li, Xiaomeng; Wang, Qiong; Qin, Jing; Wong, Kin-Hong; Choi, Kup-Sze; Fu, Chi-Wing; Heng, Pheng-Ann |
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2018 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Speckle reduction is a crucial prerequisite of many computer-aided ultrasound diagnosis and treatment systems. However, most existing speckle reductionfilters tend to concentrate the blurring near the features and introduce the hole artifacts, making the subsequent processing procedures complicated. Optimization-based methods can globally distribute such blurring, leading to better feature preservation. Motivated by this, we propose a novel optimization framework based on L-0 minimization for feature preserving ultrasound speckle reduction. We present an observation that the GAP, which integrates gradient and phase information, is extremely sparser in despeckled images ( output) than in speckled images ( input). Based on this observation, we propose an L-0 minimization framework to remove speckle noise and simultaneously preserve features in the ultrasound images. It seeks for the L-0 sparsity of the GAP values, and such sparsity is achieved by reducing small GAP values to zero in an iterative manner. Since features have larger GAP magnitudes than speckle noise, the proposed L-0 minimization is capable of effectively suppressing the speckle noise. Meanwhile, the rest of GAP values corresponding to prominent features are kept unchanged, leading to better preservation of those features. In addition, we propose an efficient and robust numerical scheme to transform the original intractable L-0 minimization into several sub-optimizations, from which we can quickly find their closed-form solutions. Experiments on synthetic and clinical ultrasound images demonstrate that our approach outperforms other state-of-the-art despeckling methods in terms of noise removal and feature preservation. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/13556]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Zhu, Lei,Wang, Weiming,Li, Xiaomeng,et al. Feature-preserving ultrasound speckle reduction via L-0 minimization.[J]. NEUROCOMPUTING,2018. |
| APA | Zhu, Lei.,Wang, Weiming.,Li, Xiaomeng.,Wang, Qiong.,Qin, Jing.,...&Heng, Pheng-Ann.(2018).Feature-preserving ultrasound speckle reduction via L-0 minimization..NEUROCOMPUTING. |
| MLA | Zhu, Lei,et al."Feature-preserving ultrasound speckle reduction via L-0 minimization.".NEUROCOMPUTING (2018). |
入库方式： OAI收割
来源：深圳先进技术研究院
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