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

机译:基于极性相干因子的超声相干平面波复合的自适应成像方法

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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.
机译:相干平面波复合(CPWC)是在单个平面波成像之后的帧速率和图像质量之间的折衷,其在不同角度发射平面波以通过目标形成反向散射信号,然后通过叠加图像来形成图像。 尽管该技术有效地提高了成像质量,但是平面波的未聚焦性质导致强烈的相干性,特别是当两角度相似时,图像中的伪像变得更加明显。 因此,本文提出了一种基于极性相干因子(PCF)的相干平面波复合的方法,其将平面波的成像结果与加权对象不同,然后计算PCF因子。 最后,乘以PCF因子,结果是最终加权像素值。 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,具有更好的成像质量。

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