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Synthetic aperture imaging using sources with finite aperture: Deconvolution of the spatial impulse response

机译:使用具有有限孔径的源的合成孔径成像:空间脉冲响应的去卷积

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摘要

A method for ultrasonic synthetic aperture imaging using finite-sized transducers is introduced that is based on a compact, linear, discrete model of the ultrasonic measurement system developed using matrix formalism. Using this model a time-domain algorithm for deconvolution of the transducer's spatial impulse responses (SIRs) is developed that is based on a minimum mean square error (MMSE) criterion. The algorithm takes the form of a spatiotemporal filter that compensates for the SIRs associated with a finite-sized transducer at every point of the processed image. A major advantage of the proposed method is that it can be used for any transducer, provided that its associated SIRs are known. This is in contrast to the synthetic aperture focusing technique (SAFT), which treats the transducer as a point source. The performance of the method is evaluated with simulations and experiments, performed in water using a linear phased array. The results obtained using the proposed method are compared to those obtained with a classical time-domain SAFT algorithm. For a finite aperture source, it is clearly shown that the resolution obtained using the proposed method is superior to that obtained using the SAFT algorithm.
机译:介绍了一种使用有限尺寸换能器进行超声合成孔径成像的方法,该方法基于使用矩阵形式学开发的超声测量系统的紧凑,线性,离散模型。使用该模型,开发了一种基于最小均方误差(MMSE)准则对换能器的空间脉冲响应(SIR)进行去卷积的时域算法。该算法采用时空滤波器的形式,该滤波器可补偿与已处理图像的每个点上的有限大小换能器相关的SIR。所提出的方法的主要优点是,只要已知其相关的SIR,它就可以用于任何换能器。这与合成孔径聚焦技术(SAFT)形成对比,后者将换能器视为点源。通过使用线性相控阵在水中进行的仿真和实验来评估该方法的性能。使用建议的方法获得的结果与通过经典时域SAFT算法获得的结果进行比较。对于有限孔径源,可以清楚地看出,使用所提出的方法获得的分辨率优于使用SAFT算法获得的分辨率。

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