Key Laboratory of Non-destructive Testing Technology, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China.
Key Laboratory of Non-destructive Testing Technology, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China.
Ultrasonics. 2023 Feb;128:106856. doi: 10.1016/j.ultras.2022.106856. Epub 2022 Sep 27.
In this work, a circular statistics vector (CSV) weighting Fourier domain (FD) beamforming for ultrasound plane-wave images was proposed to achieve better image quality with a high frame rate. Firstly, the cosine and sine components of the instantaneous phase are extracted from undelayed RF signals. Secondly, the FD beamformed cosine and sine components are used to establish the CSV. Finally, the FD beamformed amplitude image is weighted by the CSV. The resolution, contrast, and computation complexity were used to assess the performance of the proposed method. The results revealed that FD_CSV could significantly reduce the computational load compared to the conventional DAS_CSV on the equal improvement of image quality. Besides, compared to coherence factor (CF), phase coherence factor (PCF), etc., based on variance calculation, the CSV based on mean resultant vector calculation can effectively preserve the speckle due to the more tolerant to phase errors. The proposed FD_CSV weighting method has successfully conducted high image quality and low computational load.
在这项工作中，提出了一种用于超声平面波图像的圆形统计向量 (CSV) 加权傅里叶域 (FD) 波束形成方法，以实现更高帧率下的更好图像质量。首先，从无延迟 RF 信号中提取瞬时相位的余弦和正弦分量。其次，使用 FD 波束形成的余弦和正弦分量来建立 CSV。最后，通过 CSV 对 FD 波束形成的幅度图像进行加权。分辨率、对比度和计算复杂度用于评估所提出方法的性能。结果表明，与传统的 DAS_CSV 相比，FD_CSV 可以在同等提高图像质量的情况下显著降低计算负载。此外，与基于方差计算的相干因子 (CF)、相位相干因子 (PCF) 等相比，基于均方根向量计算的 CSV 由于对相位误差更具容忍性，因此可以有效地保留散斑。所提出的 FD_CSV 加权方法成功实现了高质量和低计算负载。
