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现代超声诊断系统中多普勒模式通过交替发射多普勒信号和B模式信号来完成血流速度和B模式图像的同步成像。由于这种分时策略的存在,使得脉冲波多普勒信号往往会在B模式信号接收阶段而缺失。为弥补缺失信号对多普勒频谱图像的干扰,提高血流速度检测的准确性,引入基于Burg算法的自回归模型对已知信号样本建模来推测未知信号,从而达到填补信号缺失的目的。
Doppler mode in modern ultrasound diagnostic systems performs simultaneous imaging of blood flow velocity and B-mode images by alternately transmitting Doppler signals and B-mode signals. Due to the existence of such time-sharing strategy, the pulse-wave Doppler signal will often be missing during the B-mode signal reception. In order to make up the interference of the missing signal to the Doppler spectrum image and improve the accuracy of the blood flow velocity detection, an autoregressive model based on Burg algorithm is introduced to model the known signal to estimate the unknown signal so as to fill the missing signal.