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An iterative synthetic aperture imaging algorithm with correction of diffraction effects

机译:校正衍射效应的迭代合成孔径成像算法

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摘要

In this paper we present an iterative version of the synthetic aperture imaging algorithm extended synthetic aperture technique (ESAFT) proposed recently. The algorithm is based on a linear model that accounts for the distortions effects of an imaging system used for acquisition of ultrasonic data. Improved resolution (both lateral and temporal) in the reconstructed image is obtained as a result of minimizing the reconstruction mean square error. In this work, the minimization is extended to parameters that characterize expected amplitudes of each image element in the area of interest. An iterative optimization scheme is proposed, which in each step performs minimization of the reconstruction error based on the parameter matrix found in the previous step. Comparing to ESAFT, the proposed approach yields a significant improvement in resolution and a high degree of robustness with regard to initial choice of the parameter matrix. Performance of the proposed algorithm is evaluated using both real and simulated ultrasonic data.
机译:在本文中,我们提出了最近提出的合成孔径成像算法扩展版合成孔径技术(ESAFT)的迭代版本。该算法基于线性模型,该线性模型说明了用于采集超声数据的成像系统的失真效应。作为使重建均方误差最小化的结果,在重建图像中获得了改进的分辨率(横向和时域)。在这项工作中,最小化被扩展到表征感兴趣区域中每个图像元素的预期幅度的参数。提出了一种迭代优化方案,该方案在每个步骤中都基于上一步中找到的参数矩阵来最小化重构误差。与ESAFT相比,所提出的方法在参数矩阵的初始选择方面可显着提高分辨率,并具有很高的鲁棒性。使用实际和模拟超声数据对所提出算法的性能进行评估。

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