融合空时符号相干和特征空间波束形成的超声成像Ultrasound imaging algorithm combining eigenspace-based beamforming and spatio-temporal sign coherence factor
孟德明,李晓东,和晓念
摘要(Abstract):
为了进一步提高超声成像的质量,提出融合特征空间最小波束形成和空时符号相干系数的成像方法。首先利用最小方差法计算回波数据的协方差矩阵和加权向量;然后对协方差矩阵进行特征分解得到信号子空间,并将加权向量投影到信号子空间,得到特征空间方法的加权向量,同时采用空时平滑方法计算符号相干系数;最后用空时符号相干系数作为加权系数对特征空间最小方差波束形成的结果进行优化。为了验证算法的有效性,对医学成像上常用的点目标和斑目标进行成像。仿真实验结果表明,与特征空间最小方差算法和融合特征空间与相干系数的算法相比,所提方法提高了对比度和稳健性,其代价是略微降低了成像分辨率。
关键词(KeyWords): 自适应波束形成;特征分解;特征空间;空时符号相干系数;超声成像;波束优化
基金项目(Foundation): 国家自然科学基金(61372006)~~
作者(Author): 孟德明,李晓东,和晓念
DOI: 10.16652/j.issn.1004-373x.2018.11.009
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