使用互相关双变迹法的超声成像旁瓣抑制
Sidelobe suppression in ultrasound imaging using dual apodization with cross-correlation.
作者信息
Seo Chi Hyung, Yen Jesse T
机构信息
Biomedical Engineering Department, University of Southern California, Los Angeles, CA, USA.
出版信息
IEEE Trans Ultrason Ferroelectr Freq Control. 2008 Oct;55(10):2198-210. doi: 10.1109/TUFFC.919.
Abstract
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.
摘要
本文介绍了一种超声成像中新颖的旁瓣和杂波抑制方法，称为互相关双变迹法（DAX）。DAX显著提高了对比度噪声比（CNR），使无回声囊肿和血管更易于可视化。该技术采用双变迹或加权策略，能有效去除或最小化杂波，在计算量以及硬件/软件需求方面效率较高。这种双变迹使我们能够通过对从两个变迹函数采集的射频数据进行互相关，来确定信号中主瓣与杂波贡献的量。使用128阵元5MHz线性阵列的模拟结果表明，与在直径3mm的无回声圆柱形囊肿中采用均匀变迹的标准波束形成数据相比，CNR提高了139%。在使用具有相同大小囊肿的组织仿体的实验中，经DAX处理的图像的CNR提高了123%。
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