2023
DOI: 10.1016/j.ultras.2022.106856
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Circular statistics vector for improving coherent plane wave compounding image in Fourier domain

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Cited by 8 publications
(4 citation statements)
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“…When σ > 1, the effect of the PCSV is enhanced. However, echoes from the defect would be suppressed significantly at a larger value σ according to the previous work in literature [ 27 ]. To achieve a compromise inhibition, the value of σ is 2 in this experiment.…”
Section: Resultssupporting
confidence: 55%
See 1 more Smart Citation
“…When σ > 1, the effect of the PCSV is enhanced. However, echoes from the defect would be suppressed significantly at a larger value σ according to the previous work in literature [ 27 ]. To achieve a compromise inhibition, the value of σ is 2 in this experiment.…”
Section: Resultssupporting
confidence: 55%
“…This may result in the retention of some non-defect echoes with high amplitude. To further suppress other undesired noises and preserve the contrast of the PCSV difference between the defect and the interface echo, the power transformation from the image processing field is introduced [ 27 , 28 ]. The exponential PCSV can be expressed as: where σ is the power exponent of the phase factor PCSV.…”
Section: Resultsmentioning
confidence: 99%
“…The imaging quality can be further improved by adaptively weighting the original image. However, according to the work of Chen et al [27], beamforming in the FD domain is the superposition of all signal amplitudes, and it is difficult to find the sample points required for weighting. At this time, the weighting method suitable for DAS is difficult to apply to FD beamforming.…”
Section: Csv For Fd Beamformingmentioning
confidence: 99%
“…At present, some studies have shown that the adaptive weighting method can be used in Fourier-domain beamforming. Chen et al [27] proposed a circular statistics vector (CSV) weighting Fourier domain (FD) beamforming for ultrasound plane-wave images. The results show that this imaging method can improve the resolution and contrast, and significantly reduce the computational effort compared to time-domain beamforming.…”
Section: Introductionmentioning
confidence: 99%