Fast time reversal with multiple signal classfication for ultrasonic array imaging

Chengguang Fan, Lei Yang, Yongliang Chen, Yong Zhao
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Abstract

In this paper, the fast ultrasonic array imaging based on time reversal with multiple signal classification (TR-MUSIC) is presented and introduced into the area of ultrasonic Non-destructive evaluation (NDE) for imaging defects in solids. TR-MUSIC is based on the full matrix capture data, obtained by firing each element of an ultrasonic array independently, and collecting the data with all elements. Due to the limited calculation speed of current computers, a large matrix of data can result in long post-processing time, which is not suit for the scenarios when real-time imaging is needed. The fast TR-MUSIC imaging proposed in this paper is achieved via selecting a number of array elements instead of using all of them for emitting and receiving ultrasonic signals. Its performance is experimentally demonstrated in terms of post-processing time and quality of ultrasonic image. The experimental results in solids with different noise levels show that the proposed method can reduce the post-processing time when the quality of ultrasonic image holds.
基于多信号分类的超声阵列成像快速时间反转
本文提出了一种基于时间反转多信号分类的快速超声阵列成像技术(TR-MUSIC),并将其应用于固体缺陷的超声无损检测领域。TR-MUSIC基于全矩阵捕获数据,通过独立发射超声波阵列的每个元素,并收集所有元素的数据获得。由于当前计算机的计算速度有限,大的数据矩阵会导致后处理时间长,不适合需要实时成像的场景。本文提出的快速TR-MUSIC成像是通过选择多个阵列元素来实现的,而不是使用所有的阵列元素来发射和接收超声波信号。从超声图像的后处理时间和图像质量两方面验证了该方法的性能。实验结果表明,在保持超声图像质量的前提下,该方法能有效缩短图像后处理时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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