State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
University of Chinese Academy of Sciences, Beijing 100190, China.
Sensors (Basel). 2020 Sep 1;20(17):4951. doi: 10.3390/s20174951.
Ultrasonic array imaging algorithms have been widely developed and used for non-destructive evaluation (NDE) in the last two decades. In this paper two widely used time domain algorithms are compared with two emerging frequency domain algorithms in terms of imaging performance and computational speed. The time domain algorithms explored here are the total focusing method (TFM) and plane wave imaging (PWI) and the frequency domain algorithms are the wavenumber algorithm and Lu's frequency-wavenumber domain implementation of PWI. In order to make a fair comparison, each algorithm was first investigated to choose imaging parameters leading to overall good imaging resolution and signal-to-noise-ratio. To reflect the diversity of samples encountered in NDE, the comparison is made using both a low noise material (aluminium) and a high noise material (copper). It is shown that whilst wavenumber and frequency domain PWI imaging algorithms can lead to fast imaging, they require careful selection of imaging parameters.
在过去的二十年中,超声阵列成像算法得到了广泛的发展和应用,用于无损评估(NDE)。在本文中,我们将两种广泛使用的时域算法与两种新兴的频域算法在成像性能和计算速度方面进行了比较。这里探索的时域算法是全聚焦方法(TFM)和平面波成像(PWI),频域算法是波数算法和 Lu 的 PWI 频波数域实现。为了进行公平比较,首先研究了每种算法,以选择导致整体良好成像分辨率和信噪比的成像参数。为了反映 NDE 中遇到的样品多样性,使用低噪声材料(铝)和高噪声材料(铜)进行了比较。结果表明,虽然波数和频域 PWI 成像算法可以实现快速成像,但需要仔细选择成像参数。