Sparse deconvolution method for ultrasound images based on automatic estimation of reference signals
Sparse deconvolution method for ultrasound images based on automatic estimation of reference signals
复制标题
基于参考信号自动估计的超声图像稀疏反卷积方法
DOI：
10.1016/j.ultras.2015.12.011
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发表时间：
2016-04-01
期刊：
影响因子：
4.2
通讯作者：
Chen, Jian
中科院分区：
文献类型：
--
作者：
Jin, Haoran;Yang, Keji;Chen, Jian
稀疏反褶积被广泛应用于无损检测领域，以提高时间分辨率。通常，稀疏反褶积所涉及的参考信号是从标准平面块的反射回波中测量的，这不能准确地描述不同空间位置的声学特性。因此，由于参考信号的偏差，稀疏反卷积的性能将会恶化。同时，采用人工测量参考信号的方法实现自动超声无损检测也不方便。为了克服这些缺点，本文提出了一种基于参考信号自动估计的改进稀疏反卷积算法。通过对参考信号的估计，可以减小偏差，从而提高稀疏反褶积的精度。在自动估计参考信号的基础上，通过将整个B超图像分解成小的感兴趣区域(ROI)来实现区域稀疏反卷积，大大降低了图像的维度。由于该方法的计算时间与信号长度呈功率依赖关系，因此该策略显著提高了计算效率。通过对散射目标和带有侧孔的钢块的浸没测量，验证了该方法的有效性。实验结果表明，该方法能够在不同的场景下保持垂直分辨率增强和噪声抑制能力。(C)2016爱思唯尔B.V.保留所有权利。
Sparse deconvolution is widely used in the field of non-destructive testing (NDT) for improving the temporal resolution. Generally, the reference signals involved in sparse deconvolution are measured from the reflection echoes of standard plane block, which cannot accurately describe the acoustic properties at different spatial positions. Therefore, the performance of sparse deconvolution will deteriorate, due to the deviations in reference signals. Meanwhile, it is inconvenient for automatic ultrasonic NDT using manual measurement of reference signals. To overcome these disadvantages, a modified sparse deconvolution based on automatic estimation of reference signals is proposed in this paper. By estimating the reference signals, the deviations would be alleviated and the accuracy of sparse deconvolution is therefore improved. Based on the automatic estimation of reference signals, regional sparse deconvolution is achievable by decomposing the whole B-scan image into small regions of interest (ROI), and the image dimensionality is significantly reduced. Since the computation time of proposed method has a power dependence on the signal length, the computation efficiency is therefore improved significantly with this strategy. The performance of proposed method is demonstrated using immersion measurement of scattering targets and steel block with side-drilled holes. The results verify that the proposed method is able to maintain the vertical resolution enhancement and noise-suppression capabilities in different scenarios. (C) 2016 Elsevier B.V. All rights reserved.