| A Low-complexity Minimum Variance Algorithm Combined with Power Method for Ultrasound Imaging | |
Ping Wang1; Du, Tingting1; Wang, Linhong2 ; Kong, Lu1; Li, Xitao1; Shi, Yizhe3
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| 2020-03-01 | |
| 发表期刊 | ACOUSTICAL PHYSICS
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| ISSN | 1063-7710 |
| EISSN | 1562-6865 |
| 卷号 | 66期号:2页码:204-212 |
| 摘要 | Abstract: Aiming at the problem of high complexity and poor real-time performance of the traditional minimum variance (MV) algorithm, a low-complexity minimum variance algorithm combined with power method is proposed. Firstly, the echo data is transformed into beam domain by discrete cosine transform and the dimension reduction parameter is determined according to the data of scanning lines. Secondly, the maximum eigenvalue and corresponding eigenvector of sample covariance matrix are obtained by the power method to reduce the complexity of eigenvalue decomposition. Finally, by ignoring low-energy echo signal, the inversion of covariance matrix can be simplified to construct a new weighted vector, which can reduce the complexity of MV. The Field II simulation results show that the proposed algorithm has better resolution, contrast ratio and efficiency than the traditional MV algorithm, and outperforms the minimum variance algorithm based on eigenvalue decomposition (ESBMV) in resolution and efficiency. © 2020, Pleiades Publishing, Ltd. |
| 关键词 | Covariance matrix Discrete cosine transforms Eigenvalues and eigenfunctions Signal processing Ultrasonic imaging Dimension reduction Eigenvalue decomposition Minimum variance Phase array Real time performance Sample covariance matrix Ultrasound imaging Weighted vector |
| DOI | 10.1134/S1063771020020074 |
| 收录类别 | EI ; SCIE |
| 语种 | 英语 |
| WOS研究方向 | Acoustics |
| WOS类目 | Acoustics |
| WOS记录号 | WOS:000521742700012 |
| 出版者 | Pleiades journals |
| EI入藏号 | 20201408376083 |
| EI分类号 | 716.1 Information Theory and Signal Processing ; 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory ; 921 Mathematics ; 921.3 Mathematical Transformations |
| 原始文献类型 | Journal article (JA) |
| 出版地 | MOSCOW |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3151 |
| 专题 | 智慧健康学院 |
| 作者单位 | 1.State Key Lab. of Power Transmission Equip. and System Security and New Tech., Chongqing University, Chongqing; 400044, China; 2.Chongqing College of Electronic Engineering, Chongqing; 401331, China; 3.State Grid Fujian Electric Power Co., Ltd., Maintenance Branch, Fujian; 350003, China |
| 推荐引用方式 GB/T 7714 | Ping Wang,Du, Tingting,Wang, Linhong,et al. A Low-complexity Minimum Variance Algorithm Combined with Power Method for Ultrasound Imaging[J]. ACOUSTICAL PHYSICS,2020,66(2):204-212. |
| APA | Ping Wang,Du, Tingting,Wang, Linhong,Kong, Lu,Li, Xitao,&Shi, Yizhe.(2020).A Low-complexity Minimum Variance Algorithm Combined with Power Method for Ultrasound Imaging.ACOUSTICAL PHYSICS,66(2),204-212. |
| MLA | Ping Wang,et al."A Low-complexity Minimum Variance Algorithm Combined with Power Method for Ultrasound Imaging".ACOUSTICAL PHYSICS 66.2(2020):204-212. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Wang-2020-A Low-comp（2072KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
| Ping-2020-A Low-comp（2072KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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