Compressed delay-and-sum beamforming for ultrafast ultrasound imaging
Compressed delay-and-sum beamforming for ultrafast ultrasound imaging
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DOI：
10.1109/icip.2016.7532811
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发表时间：
2016-08
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影响因子：
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通讯作者：
Adrien Besson;R. Carrillo;O. Bernard;Y. Wiaux;J. Thiran
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文献类型：
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作者：
Adrien Besson;R. Carrillo;O. Bernard;Y. Wiaux;J. Thiran
与奈奎斯特速率相比，压缩感知（CS）理论利用信号的结构来减少重构信号所需的样本数量。尽管CS方法已被提出用于超声（US）成像并取得了良好的结果，但由于无法在US探头上模拟随机抽样以及测量模型的高内存要求，实际实施很难实现。在本文中，我们提出了一个基于易于实现的采集方案和延迟和测量模型的US成像CS框架。
The theory of compressed sensing (CS) leverages upon structure of signals in order to reduce the number of samples needed to reconstruct a signal, compared to the Nyquist rate. Although CS approaches have been proposed for ultrasound (US) imaging with promising results, practical implementations are hard to achieve due to the impossibility to mimic random sampling on a US probe and to the high memory requirements of the measurement model. In this paper, we propose a CS framework for US imaging based on an easily implementable acquisition scheme and on a delay-and-sum measurement model.