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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Estimation and compensation of ultrasonic wavefront distortion using a blind system identification method
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Estimation and compensation of ultrasonic wavefront distortion using a blind system identification method

机译：盲系统辨识法估算和补偿超声波波前畸变

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摘要

A common random input filter model is described for estimation and correction of wavefront aberration in ultrasonic b-scan imaging. In the model, aberration between the focus and the transducer elements is represented by the response of a linear filter bank to a common random signal. The response of each filter in the bank is found using a two-level extension of an existing subspace method for blind system identification. The receive waveforms are compensated using an inverse filter, and the transmit waveforms are predistorted using time reversal. To test the model, experiments were conducted using a two-dimensional array system to obtain echoes from a point reflector and from a random medium in each case through an aberrator. The aberrator is a phantom that mimics wavefront distortion produced by human abdominal wall, and the random medium is made to mimic ultrasonic characteristics of human liver. The results indicate the method can improve both the transmit and the receive focus and can outperform time-shift estimation and compensation as well as the method of backpropagation followed by time-shift estimation and compensation.
机译：描述了一种常见的随机输入滤波器模型，用于估计和校正超声b扫描成像中的波前像差。在模型中，焦点和换能器元件之间的像差由线性滤波器组对公共随机信号的响应表示。使用用于盲系统识别的现有子空间方法的两级扩展，可以找到库中每个滤波器的响应。使用逆滤波器对接收波形进行补偿，并使用时间反转对发送波形进行预失真。为了测试该模型，使用二维阵列系统进行了实验，以从点反射器和随机介质分别通过像差仪获得回波。畸变器是模仿人体腹壁产生的波阵面畸变的体模，并且随机介质被制成模仿人类肝脏的超声特性。结果表明，该方法可以同时改善发射和接收焦点，并且可以胜过时移估计和补偿，以及反向传播之后时移估计和补偿的方法。

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