An adaptive imaging method for ultrasound coherent plane-wave compounding based on the polar coherence factor

Mengjia Chang, Zhenkun Lu
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引用次数: 1

Abstract

Coherent Plane-Wave Compounding (CPWC) is a compromise between the frame rate and image quality after a single plane wave imaging, which emits plane waves at different angles to form a backscattered signal through the target, and then forms an image by superimposing it. Although this technology effectively improves the imaging quality, the unfocused nature of the plane waves leads to a strong coherence, especially when the two angles are similar, the artifacts in the image become more obvious. Therefore, this paper proposes a method of coherent plane-wave compounding based on the polar coherence factor (PCF), which takes the imaging results of plane waves at different angles as the weighting object, and then calculates the PCF factor. Finally, multiply the PCF factor and the result is the final weighted pixel value. The experimental results show that the PCF-CPWC algorithm greatly improves the resolution and contrast of the image, and it has better imaging quality.
基于极性相干系数的超声相干平面波复合自适应成像方法
相干平面波复合(Coherent plane - wave Compounding, CPWC)是单次平面波成像后在帧率和图像质量之间的折衷,将不同角度的平面波发射出来,形成经过目标的后向散射信号,再将其叠加形成图像。虽然该技术有效地提高了成像质量,但平面波的非聚焦特性导致了很强的相干性,特别是当两个角度相似时,图像中的伪影更加明显。为此,本文提出了一种基于极性相干系数(PCF)的相干平面波复合方法,该方法以平面波在不同角度的成像结果为加权对象,计算PCF系数。最后,将PCF因子相乘,得到最终的加权像素值。实验结果表明,PCF-CPWC算法大大提高了图像的分辨率和对比度,具有较好的成像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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