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Analytic evaluation of sampled aperture ultrasonic imaging techniques for NDE

机译：无损检测的采样孔径超声成像技术的分析评估

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摘要

This paper presents a theoretical comparison of three generic sampled aperture ultrasonic imaging systems for nondestructive evaluation. The imaging systems are categorized according to their source-receiver combination for data acquisition: common-source, back-scatter, and full-array imaging. First, forward modeling is performed for a point source and a point receiver. This is then used to model the received data set for each of the imaging categories. Subsequently, the inversion algorithm for each category is derived, and their performance is evaluated in terms of resolution, noise, and computation. We show that in terms of resolution, back-scatter imaging is the best, followed by full-array and common-source imaging. However, in terms of material noise, full-array imaging is the best, with back-scatter and common-source imaging having the same material noise response. Full-array imaging is the only system with inherent redundancy to reduce electronic noise, but at the expense of significantly more computation. The physical transducer is in the full-array category, allowing mechanical scanning to be traded for dynamic focusing and computational power.
机译：本文介绍了三种用于无损评估的通用采样孔径超声成像系统的理论比较。成像系统根据其用于数据采集的源-接收器组合进行分类：共源，后向散射和全阵列成像。首先，对点源和点接收器执行正向建模。然后将其用于为每个成像类别的接收数据集建模。随后，导出每个类别的反演算法，并根据分辨率，噪声和计算来评估其性能。我们显示，就分辨率而言，反向散射成像是最佳的，其次是全阵列成像和公共源成像。但是，就材料噪声而言，全阵列成像是最好的，而反向散射成像和共源成像具有相同的材料噪声响应。全阵列成像是唯一具有固有冗余的系统，可以减少电子噪声，但要以大量计算为代价。物理传感器属于全阵列类别，因此可以将机械扫描换成动态聚焦和计算能力。

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