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首页> 外文期刊>Journal of Medical Imaging and Health Informatics >Array Smoothing Coherence Factor in the Plane-Wave Ultrasound Imaging
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Array Smoothing Coherence Factor in the Plane-Wave Ultrasound Imaging

机译:平面波超声成像中的阵列平滑相干因子

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摘要

The coherence factor (CF) and generalized coherence factor (GCF) have been proposed as effective methods to suppress the output noise and distortion of the traditional delay and sum (DAS) beamformer in the ultrasound imaging. However, previous researches use all transducer elements for analysis and calculation in the plane-wave ultrasound imaging (PWUI). The larger phase aberration caused by the larger size of receiving aperture results in some negative effects such as the over-suppression of speckle backgrounds and excessive attenuation on depth distribution. In this paper, an array smoothing method is proposed to optimize the conventional CF and GCF weighting processes. The idea of this method is to transform one-dimensional signal vectors to two-dimensional signal matrices by array smoothing so as to reduce the length of the signal arrays. The angle threshold is set to determine the effective receiving aperture. Then the CF and GCF weights are optimized and finally multiplied with the DAS output. Simulated and experimental studies are both analyzed to evaluate the performance of the array smoothing coherence factor (ASCF) and generalized coherence factor (ASGCF) methods. Results show that the ASCF and ASGCF methods obtained both higher contrast ratio and contrast-to-noise ratio over conventional CF and GCF methods in both simulated and experimental studies. Furthermore, it shows a better performance on reducing the distortion of speckle backgrounds and improving the robustness on the depth distribution. Therefore, the proposed methods benefit a higher speckle signal-to-noise ratio. Although it suffers a slight resolution loss, the ASCF and ASGCF methods proposed in this paper are effective in enhancing image qualities in the PWUI.
机译:已经提出了相干因子(CF)和广义相干因子(GCF)作为抑制超声成像中传统延迟和和(DAS)波束形成器的输出噪声和变形的有效方法。然而,以前的研究使用了所有换能器元件在平面波超声成像(PWUI)中进行分析和计算。由较大尺寸的接收光圈引起的较大相位像差导致一些负面影响,例如散斑背景的过度抑制和对深度分布的过度衰减。本文提出了一种阵列平滑方法来优化传统的CF和GCF加权过程。该方法的思想是通过阵列平滑将一维信号向量转换为二维信号矩阵,以减小信号阵列的长度。角度阈值被设置为确定有效接收孔径。然后优化CF和GCF重量,最终乘以DAS输出。分析模拟和实验研究以评估阵列平滑相干因子(ASCF)和广义相干因子(ASGCF)方法的性能。结果表明,在模拟和实验研究中,ASCF和ASGCF方法在常规CF和GCF方法中获得了更高的对比度和对比度。此外,它在降低散斑背景的失真和提高深度分布上的鲁棒性方面表现出更好的性能。因此,所提出的方法有利于较高的散斑信噪比。虽然它遭受了轻微的分辨率损失,但本文提出的ACF和ASGCF方法是有效地增强了PWUI的图像质量。

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