Automatic aliasing judgment and Doppler imaging adjusting method and ultrasonic system thereof

Abstract

The invention discloses an automatic aliasing judgment and Doppler imaging adjusting method and an ultrasonic system thereof. The method comprises the following steps of: acquiring a Doppler spectrogram; comparing strong and weak parameters of the whole field signals of the spectrogram with a threshold value and judging whether the spectrogram performs vein aliasing for multiple times or not; according to the characteristics of the spectrogram area signals, judging whether the spectrogram performs artery aliasing for multiple times or not; and if the vein aliasing judgment result and the artery aliasing judgment result perform aliasing for multiple times, judging that the Doppler spectrogram does not perform aliasing for multiple times. In the method, the influence of spectrogram forms on the judgment is taken into full consideration, so the aliasing judgment of a vein spectrogram is added, the probability of erroneous judgment is reduced, and the accuracy of the aliasing judgment is improved.

Description

technical field [0001] The invention relates to an automatic adjustment technology of Doppler acoustic spectrogram parameters, in particular to a method for improving the automatic adjustment performance of ultrasonic Doppler imaging and an ultrasonic system thereof. Background technique [0002] Pulse Doppler technology in ultrasonic Doppler diagnostic equipment transmits ultrasonic signals to the target body at a certain pulse repetition frequency (abbreviated as PRF), and forms a spectrogram through spectrum analysis of echo signals. The abscissa is Time, the ordinate is the Doppler frequency shift frequency, the higher the frequency, the faster the blood flow, and the position where the frequency is 0 is called the baseline. At the same time, the brightness at different frequency positions is different. The higher the brightness, the stronger the signal at this frequency point. The value of a statistical characteristic distribution (for example, Gaussian distribution), ...

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Problems solved by technology

When the spectrogram is an arterial spectrogram, if there is a blood flow signal (multiple aliasing) at the position where the signal is weakest, the variance is large; however, when the spectrogram is a venous spectrogram, the signal is aliased multiple times When , the whole field is covered by the signal, such as Figure 1b As shown, the variance is still small, and multiple aliasing cannot be judged, which will lead to adjustment errors

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