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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Sidelobe suppression in ultrasound imaging using dual apodization with cross-correlation
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Sidelobe suppression in ultrasound imaging using dual apodization with cross-correlation

机译:具有互相关的双重变迹在超声成像中的旁瓣抑制

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This paper introduces a novel sidelobe and clutter suppression method in ultrasound imaging called dual apodization with cross-correlation or DAX. DAX dramatically improves the contrast-to-noise ratio (CNR) allowing for easier visualization of anechoic cysts and blood vessels. This technique uses dual apodization or weighting strategies that are effective in removing or minimizing clutter and efficient in terms of computational load and hardware/software needs. This dual apodization allows us to determine the amount of mainlobe versus clutter contribution in a signal by cross-correlating RF data acquired from 2 apodization functions. Simulation results using a 128 element 5 MHz linear array show an improvement in CNR of 139% compared with standard beamformed data with uniform apodization in a 3 mm diameter anechoic cylindrical cyst. Experimental CNR using a tissue-mimicking phantom with the same sized cyst shows an improvement of 123% in a DAX processed image.
机译:本文介绍了一种新的超声成像旁瓣和杂波抑制方法,称为具有互相关或DAX的双重变迹。 DAX显着提高了对比度和噪声比(CNR),从而使可视化的无回声囊肿和血管更容易可视化。该技术使用双重切趾或加权策略,可有效消除或最小化混乱情况,并且在计算负载和硬件/软件需求方面有效。这种双重变迹使我们能够通过对从2个变迹函数获得的RF数据进行互相关来确定信号中主瓣与杂波的贡献量。使用128元素5 MHz线性阵列的仿真结果显示,与直径3 mm无回声圆柱形囊肿中均一切趾的标准波束形成数据相比,CNR改善了139%。使用具有相同大小囊肿的模仿组织模型的实验性CNR在DAX处理的图像中显示了123%的改善。

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