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Synergistic enhancements of ultrasound image contrast with a combination of phase aberration correction and dual apodization with cross-correlation

机译:与相位像差校正和双切趾的与互相关的组合超声图像对比度增强的协同

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摘要

Dual Apodization with Cross-correlation (DAX) is a novel adaptive beamforming technique, which utilizes two distinct apodization functions in suppressing sidelobes and clutter. Previous studies have shown that the performance of DAX in minimizing the effects of phase aberration diminishes with increasing aberrator strength. To achieve greater improvement in image contrast, we propose, in this paper, to combine DAX with a phase aberration correction algorithm based on nearest neighbor cross-correlation (NNCC). Our simulation and experimental results presented in this work showed that the proposed method allows for synergistic enhancements of image contrast and achieves greater improvement in image quality than using DAX alone or phase aberration correction alone in the presence of weak and strong aberrators. Compared to standard delay-and-sum (DAS) beamforming, using the proposed method on simulated data with weak and strong aberrations increased the contrast-to-noise ratio (CNR) values from 3.6 to 9.5 and from 1.5 to 8.5, respectively. Experimental results were obtained using pork tissues of 4 mm and 10 mm thickness and a tissue-mimicking phantom. The CNR values increased from 3.7 to 9.7 for the 4 mm pork aberrator and from 1.3 to 8.2 for the 10 mm pork aberrator.
机译:具有互相关的双重变迹(DAX)是一种新颖的自适应波束形成技术,该技术利用两个独特的变迹功能来抑制旁瓣和杂波。先前的研究表明,DAX在使相差影响最小化方面的性能会随着像差强度的增加而降低。为了实现更大的图像对比度改善,我们提出将DAX与基于最近邻互相关(NNCC)的相差校正算法相结合。我们在这项工作中提出的仿真和实验结果表明,与单独使用DAX或在弱像差和强像差的情况下单独使用相差校正相比,所提出的方法可以协同增强图像对比度,并在图像质量方面实现更大的改善。与标准延迟总和(DAS)波束形成相比,使用拟议的方法对弱像差和强像差的模拟数据使用时,对比度噪声比(CNR)值分别从3.6提高到9.5,从1.5提高到8.5。使用4毫米和10毫米厚的猪肉组织以及模仿组织的幻像获得了实验结果。 4毫米猪肉畸变器的CNR值从3.7增加到9.7,而10毫米猪肉畸变器的CNR值从1.3增大到8.2。

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    Jesse Yen;

  • 作者单位
  • 年(卷),期 -1(59),9
  • 年度 -1
  • 页码 2089–2101
  • 总页数 26
  • 原文格式 PDF
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