基于预失真编码激励与最小方差波束形成的超声成像算法

为了提高医学超声成像的轴向分辨力,文中提出一种基于预失真编码激励与改进最小方差自适应波束相结合的成像方法。该方法一方面对编码激励信号进行预失真和旁瓣抑制处理,补偿探头对信号的影响,提高发射端的分辨率与成像对比度;另一方面对接收数据采用改进的最小方差波束形成,有效提高了医学超声成像过程中的分辨率并改善自适应算法的鲁棒性。仿真结果表明,相对于恒包络信号与传统的延时叠加波束形成算法,文中算法从信号源和接收数据两方面提高了成像的对比度和分辨力,为实现高质量的超声成像系统提供了理论依据。

Ultrasound Imaging Based on Predistortion Coded Excitation and Minimum Variance Beamforming

In order to improve the axial resolution of medical ultrasound imaging, an imaging method based on predistortion coded excitation and improved minimum variance was proposed. On the one hand, this method compensated the influence of the probe on the signal and improved the resolution of the emitter through the predistortion and sidelobe reduction technology of the coded excitation signal. On the other hand, the improved minimum variance beamforming was applied, which effectively improved the resolution of medical ultrasound imaging and improved the robustness of adaptive algorithm. The simulation results showed that the proposed method obtained better performance than the constant envelope excitation and the conventional delay-and-sum beamformer algorithms in the imaging resolution and robustness. Meanwhile, the algorithm provided theory evidence for the realization of high-quality ultrasonic image system.