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Ultrasound Transcranial Imaging Based on Fast Coherent-Time-Delay and Correlative Pixel-Based Beamforming
Bai, Chen1,2; Zhang, Xinyu1; Qiao, Xiaoyang1; Sang, Yuchao1; Zhong, Hui1; Wan, Mingxi1
2018-12-17
Conference Name2018 IEEE International Ultrasonics Symposium, IUS 2018
Source Publication2018 IEEE International Ultrasonics Symposium, IUS 2018
Volume2018-October
Conference Date2018-10-22
Conference PlaceKobe, Japan
PublisherIEEE Computer Society
Contribution Rank1
AbstractAdaptive 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.
Department瞬态光学技术国家重点实验室
DOI10.1109/ULTSYM.2018.8579926
Indexed ByEI
ISBN9781538634257
Language英语
ISSN19485719;19485727
EI Accession Number20190506443821
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31239
Collection瞬态光学技术国家重点实验室
Affiliation1.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
Recommended Citation
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]:IEEE Computer Society,2018.
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