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频域合成孔径聚焦技术的一种实现方式。

An implementation of synthetic aperture focusing technique in frequency domain.

作者信息

Stepinski Tadeusz

机构信息

Signals and Systems, Uppsala University, Uppsala, Sweden.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2007 Jul;54(7):1399-408. doi: 10.1109/tuffc.2007.400.

Abstract

A new implementation of a synthetic aperture focusing technique (SAFT) based on concepts used in synthetic aperture radar and sonar is presented in the paper. The algorithm, based on the convolution model of the imaging system developed in frequency domain, accounts for the beam pattern of the finite-sized transducer used in the synthetic aperture. The 2D fast Fourier transform (FFT) is used for the calculation of a 2D spectrum of the ultrasonic data. The spectrum is then interpolated to convert the polar coordinate system used for the acquisition of ultrasonic signals to the rectangular coordinates used for the presentation of imaging results. After compensating the transducer lobe amplitude profile using a Wiener filter, the transformed spectrum is subjected to the 2D inverse Fourier transform to get the time-domain image again. The algorithm is computationally attractive due to the use of 2D FFT. The performance of the proposed frequency-domain algorithm and the classical time-domain SAFT are compared in the paper using simulated and real ultrasonic data.

摘要

本文提出了一种基于合成孔径雷达和声纳中使用的概念的合成孔径聚焦技术(SAFT)的新实现方法。该算法基于在频域中开发的成像系统的卷积模型,考虑了合成孔径中使用的有限尺寸换能器的波束方向图。二维快速傅里叶变换(FFT)用于计算超声数据的二维频谱。然后对频谱进行插值,将用于采集超声信号的极坐标系转换为用于呈现成像结果的直角坐标系。使用维纳滤波器补偿换能器波瓣幅度分布后,对变换后的频谱进行二维傅里叶逆变换,再次得到时域图像。由于使用了二维FFT,该算法在计算上具有吸引力。本文使用模拟和实际超声数据对所提出的频域算法和经典时域SAFT的性能进行了比较。

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