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基于相位圆统计向量的浸没超声成像的二次界面回波抑制。

Secondary Interface Echoes Suppression for Immersion Ultrasonic Imaging Based on Phase Circular Statistics Vector.

机构信息

Key Laboratory of Non-Destructive Testing Technology, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China.

AECC Aviation Power Co., Ltd., Xi'an 710021, China.

出版信息

Sensors (Basel). 2023 Jan 17;23(3):1081. doi: 10.3390/s23031081.

DOI:10.3390/s23031081
PMID:36772121
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9921393/
Abstract

Immersion ultrasonic phased array imaging technology offers great advantages, particularly in coupling and automatic detection of industrial non-destructive testing (NDT). To suppress the influence of secondary interface echoes in the immersion ultrasonic phased array imaging, a novel phase circular statistics vector (PCSV) weighting method is proposed in this paper. Firstly, the PCSV factor matrix is established according to the phase consistency of the echo signals. Secondly, due to the higher phase coherence of the defect echo, the PCSV factor matrix is used to weight the TFM image to suppress the secondary interface echo. The result shows the secondary interface echoes are effectively suppressed in the total focusing method (TFM) image on a 0~40 dB scale. It is also shown that PCSV weighting could not only suppress the secondary interface echoes but also improved the image quality in terms of SNR and lateral resolution by comparing with traditional TFM.

摘要

浸没式超声相控阵成像技术具有很大的优势，特别是在工业无损检测（NDT）的耦合和自动检测方面。为了抑制浸没式超声相控阵成像中的二次界面回波的影响，本文提出了一种新的相位圆统计向量（PCSV）加权方法。首先，根据回波信号的相位一致性建立 PCSV 因子矩阵。其次，由于缺陷回波的相位相干性更高，因此使用 PCSV 因子矩阵对 TFM 图像进行加权，以抑制二次界面回波。结果表明，在 0~40dB 范围内，在总聚焦方法（TFM）图像中有效抑制了二次界面回波。通过与传统的 TFM 相比，PCSV 加权不仅可以抑制二次界面回波，而且可以提高图像的信噪比和横向分辨率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/c27b7bedad80/sensors-23-01081-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/c8dd7625efa2/sensors-23-01081-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/164a3bdce56d/sensors-23-01081-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/dbcebf02f03d/sensors-23-01081-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/c27b7bedad80/sensors-23-01081-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/5bed1fdd9ec1/sensors-23-01081-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/5874fa32149a/sensors-23-01081-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/63623d9918f0/sensors-23-01081-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/b9221d7261bf/sensors-23-01081-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/29e64f5acf72/sensors-23-01081-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/7c9ca1c66d2b/sensors-23-01081-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/c8dd7625efa2/sensors-23-01081-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/164a3bdce56d/sensors-23-01081-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/dbcebf02f03d/sensors-23-01081-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/9921393/c27b7bedad80/sensors-23-01081-g010.jpg

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本文引用的文献

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Circular statistics vector for improving coherent plane wave compounding image in Fourier domain.循环统计向量在傅里叶域中提高相干平面波合成图像的质量。
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Sensors (Basel). 2020 Jan 31;20(3):775. doi: 10.3390/s20030775.
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