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Harmonic quadrature demodulation for extracting the envelope of the 2nd harmonic component

机译:用于提取二次谐波分量包络的谐波正交解调

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摘要

An efficient method for separating the harmonic component (2f0) from the fundamental component (f0) using harmonic quadrature demodulation is presented. In the proposed method, the focused ultrasound signal is mixed with cosine and sine signal waveforms of harmonic frequency 2f0 to produce the inphase and quadrature components, respectively. The quadrature component is Hilbert-transformed and then added to the inphase component. This process cancels out both the high and low frequency components of the mixed fundamental signal and the high frequency component of the mixed harmonic signal, leaving only the envelope of the harmonic signal at the base band. This signal is then fed to a low-pass filter to remove out of band noise. In summary, this method can extract the harmonic signal after a single transmit-receive event even when there exists frequency overlap between the f0 and 2f0 components. Hence, the proposed method is superior to the pulse inversion method which requires twice as many transmit-receive cycles as well as the conventional filtering method which has a bandwidth limitation. Therefore, one can find the proposed method useful not only for tissue harmonic imaging but also for contrast agent imaging in applications where high frame rate or low motion artifact is important. The proposed method is verified by both the analytic and computer simulation studies. For a stationary target, the difference between the estimated harmonic signals by the proposed and the pulse inversion methods is within 0.1%.
机译:提出了一种使用谐波正交解调将谐波分量(2f0)与基本分量(f0)分离的有效方法。在提出的方法中,聚焦超声信号与谐波频率为2f0的余弦和正弦信号波形混合,分别产生同相和正交分量。正交分量经过希尔伯特变换,然后添加到同相分量中。该过程抵消了混合基频信号的高频和低频分量以及混合谐波信号的高频分量,仅在基带保留了谐波信号的包络。然后,该信号被馈送到低通滤波器,以消除带外噪声。总而言之,即使在f0和2f0分量之间存在频率重叠,该方法也可以在单个发送-接收事件之后提取谐波信号。因此,所提出的方法优于需要两倍收发周期的脉冲反转方法以及具有带宽限制的常规滤波方法。因此,可以发现所提出的方法不仅对组织谐波成像有用,而且对于在高帧频或低运动伪影很重要的应用中的造影剂成像也有用。通过分析和计算机仿真研究验证了该方法的有效性。对于静止的目标,通过提议的方法和脉冲反转方法估算的谐波信号之间的差异在0.1%以内。

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