Ultrasound Transcranial Imaging Based on Fast Coherent-Time-Delay and Correlative Pixel-Based Beamforming
文献类型:会议论文
作者 | Bai, Chen1,2; Zhang, Xinyu1; Qiao, Xiaoyang1; Sang, Yuchao1; Zhong, Hui1; Wan, Mingxi1 |
出版日期 | 2018-12-17 |
会议日期 | 2018-10-22 |
会议地点 | Kobe, Japan |
卷号 | 2018-October |
DOI | 10.1109/ULTSYM.2018.8579926 |
英文摘要 | Adaptive beamforming, such as the fast minimum variance (FMV)algorithm, has been developed to improve the contrast-to-noise ratio (CNR)in plane wave imaging with extremely reduced computation. However, in ultrasound trans cranial imaging, FMV will be confronted with challenges raised by echoes with low intensities, especially when calculating the beamformer contributions at points which are in a distance from the beam center line. In order to improve the CNR and resolution in low echo beamforming during trans cranial imaging, this paper proposed an adaptive beamforming which combined with fast minimum variance (FMV)algorithm and unified pixel-based beamforming, i.e. fast coherent-time-delay and correlative pixel-based (FCCP)beamforming. By considering the influence of neighboring pixels during the beamforming, this method can remove undesirable information instead of increasing diagnostic information in trans cranial imaging. The influence of neighboring pixels was reflected by coherent-time-delay and coherent coefficients of each covariance matrix. After the simulation and phantom study, the results prove that CNR and the resolution are indeed ameliorated be FCCP, compared with delay-and-sum (DAS)and conventional minimum variance (MV)algorithm. In simulation, the CNR was augmented by 6 dB as well as the lateral resolution was improved by from 0.1536 mm from 0.1740 mm. FCCP is the combination of compound coherent-time-delay and correlative pixel-based, which could improves the resolution and contrast if image, and FMV. FMV is involved for the high complexity caused by matrix inversion, the computation was simplified by principal component analysis (PCA)when calculate the covariance matrix. © 2018 IEEE. |
产权排序 | 1 |
会议录 | 2018 IEEE International Ultrasonics Symposium, IUS 2018 |
会议录出版者 | IEEE Computer Society |
语种 | 英语 |
ISSN号 | 19485719;19485727 |
ISBN号 | 9781538634257 |
源URL | [http://ir.opt.ac.cn/handle/181661/31239] |
专题 | 西安光学精密机械研究所_瞬态光学技术国家重点实验室 |
作者单位 | 1.School of Life Science and Technology, Xi'An Jiaotong University, Department of Biomedical Engineering, Xi'an, China; 2.State Key Laboratory of Transient Optics and Photonics, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China |
推荐引用方式 GB/T 7714 | Bai, Chen,Zhang, Xinyu,Qiao, Xiaoyang,et al. Ultrasound Transcranial Imaging Based on Fast Coherent-Time-Delay and Correlative Pixel-Based Beamforming[C]. 见:. Kobe, Japan. 2018-10-22. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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