Correspondence - Beam-domain eigenspace-based minimum variance beamformer for medical ultrasound imaging

作者: Xing Zeng , Yuanyuan Wang , Jinhua Yu , Yi Guo

DOI: 10.1109/TUFFC.2013.2866

关键词:

摘要: The eigenspace-based minimum variance (ESBMV) beamformer can provide good imaging resolution and contrast; however, the performance is achieved at cost of high computational complexity. In adaptive array processing, beamspace method an efficient way to lower this paper, we combine with ESBMV propose a beam-domain beamformer. We demonstrate feasibility introducing into effective forming transform matrix based on spatial spectrum signals. also illustrate proposed when resolving point scatterers cyst phantom both simulated experimental data. results show that achieve comparable within much shorter time.

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