改进FFT算法在频域全聚焦超声成像中研究  

Research on Improved FFT Algorithm in Frequency Domain Fully Focused Ultrasound Imaging

作　　者：周英钢[1] 刘振兴 梁晶亮 王善辉 李继冯 武美娜 ZHOU Yinggang;LIU Zhenxing;LIANG Jingliang;WANG Shanhui;LI Jifeng;WU Meina(School of Information Science and Engineering,Shenyang University of Technology,Shenyang,Liaoning 110870,China;Guizhou Power Grid Limited Liability Company Zunyi Power Supply Bureau,Zunyi,Guizhou 563000,China;School of Electrical and Automation Engineering,Liaoning University of Science and Technology,Benxi,Liaoning 117004,China)

机构地区：[1]沈阳工业大学信息科学与工程学院,辽宁沈阳110870 [2]贵州电网有限责任公司遵义供电局,贵州遵义563000 [3]辽宁科技学院电气与自动化工程学院,辽宁本溪117004

出　　处：《计量学报》2024年第5期722-729,共8页Acta Metrologica Sinica

基　　金：国家自然科学基金(61372154,60772054)。

摘　　要：针对钢块中孔洞缺陷的超声成像检测,目前普遍采用时域超声成像算法。该方法中的延时叠加过程需要进行重复、繁琐的迭代运算,无法满足高质量实时成像的需求,频域超声成像算法具有更高的成像分辨率和更快的成像速度。提出了一种针对任意非0值输入的基2-FFT输入分级截断算法,将该算法应用在频域FMC-PSM算法成像中,得到改进的FMC-PSM算法,用于钢块中孔洞缺陷检测超声成像。实验结果证明,相较于标准FMC-PSM算法,改进的频域FMC-PSM算法能够在呈现更高质量图像的同时将成像速度提高了15%,有望解决超声成像中成像质量和成像效率难以兼顾的问题。At present,time-domain ultrasonic imaging algorithms are commonly used for ultrasonic imaging detection of hole defects in steel blocks.The delay stacking process in the method requires repetitive and tedious iterative operations,which cannot meet the requirements of high-quality real-time imaging.The frequency domain ultrasound imaging algorithm has higher imaging resolution and faster imaging speed.A radix 2-FFT input hierarchical truncation algorithm for any non zero value input was proposed,and the algorithm was applied to the frequency domain FMC-PSM algorithm for imaging,resulting in an improved FMC-PSM algorithm for ultrasonic imaging of hole defects in steel blocks.The experimental results show that compared to the standard FMC-PSM algorithm,the improved frequency domain FMC-PSM algorithm can present higher quality images while increasing the imaging speed by 15%,which is expected to solve the problem of difficult balance between imaging quality and imaging efficiency in ultrasound imaging.

关 键 词：超声无损检测 超声层析成像 基2-FFT 全矩阵数据 成像速度 孔洞缺陷检测 

分 类 号：TB95[一般工业技术—计量学]