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Lag-Based Filtered-Delay Multiply and Sum Beamformer Combined with Two Phase-Related Factors for Medical Ultrasound Imaging

机译:基于滞后的滤波延迟乘法和总和波束形成器与医疗超声成像的两个相位相关因素相结合

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A novel adaptive beamformer named filtered-delay multiply and sum (F-DMAS) has recently been proposed. Compared to the delay and sum (DAS) beamforming algorithm, F-DMAS can efficiently improve the resolution and contrast. However, the DAS can still be seen in the expansion of DMAS. Therefore, we rearrange the pair-wised signals in terms of lag in DMAS and then synthesize a lot of new signals. Thanks to the relationship between the spatial coherence and lag, these new signals can be thought of as sorted by the spatial coherence. Thus, we apply two phase-related factors, the polarity-based factor (PF) and the sign coherence factor (SCF), which are evaluated based on new signals, to weight the output of DMAS. The two approaches are consequently referred to as LAG-DMAS-PF and LAG-DMAS-SCF, respectively. The results show that, compared to F-DMAS and DAS, our proposed methods can improve the resolution and contrast to some extent without increasing too much computational complexity. In the comparison between LAG-DMAS-PF and LAG-DMAS-SCF, the latter has better performance, but the former can better protect image details.
机译:最近提出了一种名为过滤延迟乘法和总和(F-DMA)的新型自适应波束形成器。与延迟和总和(DAS)波束成形算法相比,F-DMA可以有效地提高分辨率和对比度。然而,DAS仍然可以在DMA的扩展中看到。因此,我们在DMA中的滞后重新排列了对方式,然后合成了大量的新信号。由于空间相干与滞后之间的关系,这些新信号可以被视为空间连贯性的分类。因此,我们应用了两个相位相关的因素,基于极性的因子(PF)和标志相干因子(SCF),这些因子基于新信号评估,以重量DMA的输出。因此,两种方法将分别称为LAG-DMA-PF和LAG-DMAS-SCF。结果表明,与F-DMMS和DAS相比,我们所提出的方法可以在某种程度上提高分辨率并对比,而不会增加太多的计算复杂性。在LAG-DMAS-PF和LAG-DMAS-SCF之间的比较中,后者具有更好的性能,但前者可以更好地保护图像细节。

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