摘要
为提高超声频域成像算法的计算速度,提出一种应用于超声频域成像算法的基2-FFT输入分级截断算法。首先,借助于COMSOL多物理场仿真软件,建立钢件中含有孔缝缺陷的有限元模型进行声场仿真。仿真结果得到关于缺陷的回波信号,并通过PSM算法对频域内声场进行重建,得到成像区域的聚焦图像,和原始仿真信号的B扫图像相比效果更加直观且成像质量更好,验证了PSM算法的可行性。然后为了避免超声频域成像算法中二维傅里叶变换的冗余计算,进一步提出了支持任意非0值输入的基2-FFT输入分级截断算法。实验结果证明,基2-FFT输入分级截断算法比标准基2-FFT算法快27%,超声频域算法成像速度提高13%。
To improve the computational speed of the ultrasonic frequency domain imaging algorithm,a radix-2-FFT input hierarchical truncation algorithm applied to the ultrasonic frequency domain imaging algorithm is proposed.First of all,with the help of COMSOL Multiphysics simulation software,a finite element model containing hole and seam defects in steel parts is established for sound field simulation.The echo signal about the defect is obtained from the simulation results,and the acoustic field in the frequency domain is reconstructed by using the PSM algorithm to obtain the focused image of the imaging area.Compared with the B-scan image of the original simulation signal,the effect is more intuitive and the imaging quality is better,which verifies the feasibility of the PSM algorithm.Then,to avoid redundant computation of 2D Fourier transform in ultrasonic frequency domain imaging algorithm,a radix-2-FFT input hierarchical truncation algorithm that supports any non-zero value input is further proposed.The experimental results show that the radix-2FFT input hierarchical truncation algorithm is 27% faster than the standard radix-2-FFT algorithm,and the imaging speed of the algorithm in the ultrasonic domain is 13% faster.
作者
周英钢
刘振兴
王善辉
李继冯
ZHOU Yinggang;LIU Zhenxing;WANG Shanhui;LI Jifeng(School of Information Science and Engineering,Shenyang University of Technology,Shenyang Liaoning 110870,China;China America Double Hundred School,Liaoning Institute of Science and Technology,Benxi Liaoning 117004,China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2024年第7期1172-1178,共7页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金项目(61372154,60772064)。
关键词
超声频域成像
基2-FFT
B扫成像
分级截断算法
成像速度
ultrasound frequency domain imaging
radix-2-FFT
B-scan imaging
hierarchical truncation algorithm
imaging speed
