OPT OpenIR  > 瞬态光学技术国家重点实验室
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
Conference Name2018 IEEE International Ultrasonics Symposium, IUS 2018
Source Publication2018 IEEE International Ultrasonics Symposium, IUS 2018
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.
Indexed ByEI
EI Accession Number20190506443821
Citation statistics
Document Type会议论文
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.
Files in This Item:
File Name/Size DocType Version Access License
Ultrasound Transcran(457KB)会议论文 限制开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bai, Chen]'s Articles
[Zhang, Xinyu]'s Articles
[Qiao, Xiaoyang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bai, Chen]'s Articles
[Zhang, Xinyu]'s Articles
[Qiao, Xiaoyang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bai, Chen]'s Articles
[Zhang, Xinyu]'s Articles
[Qiao, Xiaoyang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.