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Plane-wave imaging using synthetic aperture imaging reconstruction technique with regularized singular-value decomposition (RSVD)

机译:使用具有常规奇异值分解(RSVD)的合成孔径成像重建技术进行平面波成像

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Plane wave ultrasound imaging (PW) with coherent compounding can improve the image quality in terms of contrast, SNR, and lateral resolution compared to the conventional PW method. When the number of PW transmissions is small, the image quality still need improvement. In this paper, we proposed to first estimate the synthetic transmit aperture imaging (STA) data with regularized singular-value decomposition (RSVD) from the PW RF data, and then used the STA reconstruction method to reconstruct ultrasound images. Compared to the delay-and-sum, the contrast-to-noise ratio (CNR) values of the hypo-echoic inclusions in both simulation and experiment was improved approximately by 28% and 19%, respectively, while the spatial resolutions were similar in the proposed method. The objects at the central column in the field of view have image metrics comparable to those of the full data set (75 PW emissions).
机译:与传统的PW方法相比,具有相干复合的平面波超声成像(PW)可以在对比度,SNR和横向分辨率方面提高图像质量。当PW传输次数较少时,图像质量仍需要改进。在本文中,我们建议首先从PW RF数据中估计带有正则化奇异值分解(RSVD)的合成发射孔径成像(STA)数据,然后使用STA重建方法重建超声图像。与延迟总和相比,在模拟和实验中低回声夹杂物的对比度噪声比(CNR)值分别提高了约28%和19%,而空间分辨率在建议的方法。视野中心列的对象的图像度量可以与整个数据集的图像度量相比(75 PW排放)。

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