从任意传输延迟的超声序列中恢复完整的数据集

Nick Bottenus
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引用次数: 5

摘要

超声波束形成依赖于特定的传播模型,将后向散射场的样本通过时间转换为图像的空间样本。最常用的模型是聚焦波的直线传播,假设一个狭窄的定向聚焦光束沿着选定的方向径向传播。该模型描述了主要的传播脉冲,但未能捕捉到波的真实空间范围。重建图像遭受散焦,降低信噪比(SNR)和对比度损失。提出了一种将传输建模为单个发射单元在传感器阵列上的叠加的方法,并有效地从任意扫描序列中恢复“完整数据集”,即单个单元发射和接收响应。将标准发散波聚焦应用于完整的数据集,以产生与所应用的发射聚焦无关的图像。对于具有固定发射焦点的序列,结果是高信噪比的双向聚焦信号。
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Recovery of the complete data set from ultrasound sequences with arbitrary transmit delays
Ultrasound beamforming relies on particular models of propagation to convert samples of the backscattered field through time into spatial samples of an image. The most common model used is straight-line propagation of a focused wave, assuming a narrow steered and focused beam that propagates radially along a selected direction. This model describes the main propagating pulse but fails to capture the true spatial extent of the wave. The reconstructed image suffers from defocusing, reduced signal-to-noise ratio (SNR), and contrast loss. A method is proposed to model transmission as the superposition of individual transmit elements on the transducer array and to efficiently recover the “complete data set”, individual element transmit and receive responses, from an arbitrary scan sequence. Standard diverging wave focusing is applied to the complete data set to produce an image independent of the applied transmit focusing. For a sequence with a fixed transmit focus, the result is a high-SNR, two-way focused im...
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