计算机工程与应用2018，Vol.54Issue(1)：60-63,85,5.DOI:10.3778/j.issn.1002-8331.1611-0007
融合空时相干和特征空间波束形成的超声成像
Eigenspace-based beamforming combined with spatio-temporally coherence factor for ultrasound imaging
摘要
Abstract
To improve the quality of medical ultrasound imaging, a beamforming method which combines Eigen Space-Based Minimum Variance(ESBMV)with Spatio-Temporally Coherence Factor(STCF)is proposed. Firstly, minimum variance beamforming is used to obtain covariance matrix and weight vector; then the weight vector of the ESBMV is found by projecting the MV weight vector onto a vector subspace constructed from the eigenstructure of the covariance matrix; at the same time, the spatio-temporally method is used to calculate the coherence factor; in the end, the spatio-temporally coherence factor is used to optimize the results of eigenspace-based minimum variance beamforming. Simula-tions of point scatters and cyst phantom are used to verify the proposed method. The results show that the proposed method provides improved contrast, better speckle performance and more robustness than the ESBMV and ESBMV-CF beam-forming method, at the expense of slightly lower resolution.关键词
超声成像/自适应波束形成/最小方差/特征空间/空时相干系数Key words
ultrasound imaging/adaptive beamforming/minimum variance/eigenspace/Spatio-Temporally Coherence Factor(STCF)分类
信息技术与安全科学引用本文复制引用
孟德明,陈昕,和小念,陈思平..融合空时相干和特征空间波束形成的超声成像[J].计算机工程与应用,2018,54(1):60-63,85,5.基金项目
国家自然科学基金(No.61372006). （No.61372006）
