一种傅里叶域超声平面波复合成像处理构架

Novel processing framework for the plane wave compounding imaging in Fourier-domain

提出一种相位迁移(PSM)和相位环形统计矢量(PCSV)相结合的傅里叶域超声平面波复合成像(PWCI)处理构架。首先,提取平面波数据的瞬时相位,并将其实部和虚部视作圆形复平面上分布的PCSV。然后,利用针对平面波成像修正后的相位迁移算法对平面波数据的实部和虚部分别进行波场外推,并通过外推后的实部和虚部构建PCSV加权因子。最后,利用PCSV因子对修正PSM处理后的平面波图像进行自适应加权获得PSM-PCSV图像。结果表明,相比于传统平面波成像构架,这种新型平面波成像构架具有较高的成像质量和较低的运算复杂度。与延时叠加算法相比,当复合平面波数量为17时,PSM-PCSV图像的信噪比提高了76%,半峰值全宽缩短了44%。该构架有望进一步降低高质量平面波成像系统的硬件成本。

A novel ultrasound plane wave compounding imaging(PWCI)processing framework in Fourier-domain is proposed,which combines the phase-shift migration(PSM)and phase circular statistics vector(PCSV).Firstly,the instantaneous phase of the plane-wave data is extracted.Then the real and imaginary parts are regarded as the PCSVs distributed on the circular complex plane.Secondly,a modified PSM for plane wave imaging is used to perform the wave field extrapolation of the real and imaginary parts of the plane-wave ultrasound data,respectively.The PCSV weighting factor is established using the extrapolated real and imaginary parts.Finally,the PCSV factor is used to conduct adaptive weighting on the plane wave image after the modified PSM processing,and the PSM-PCSV image is obtained.The results show that the novel plane wave imaging processing framework possesses higher imaging quality and lower computing complexity compared with the traditional plane wave imaging framework.Compared with the delay-and-sum algorithm,when the number of compounding plane waves is 17,the SNR of PSM-PCSV image is improved by 76%,and the full width at half-maximum is shortened by 44%.The proposed processing framework is expected to further reduce hardware costs of the high-quality plane wave imaging system.