Method for processing signal of sound spectrogram image and system therefor

Abstract

The invention discloses a method for processing a signal of a sound spectrogram image and a system therefor. The method comprises the steps: analyzing the frequency spectrum of a backwave Doppler signal to obtain a power spectrum of the Doppler signal along with the time variation; estimating the noise average power by the power spectrum; determining the noise suppression threshold according to the noise average power; comparing the power spectrum and the noise suppression threshold and performing noise suppression according to the comparison result to obtain a power spectrum after suppression; and limiting the power spectrum after suppression to input the logarithmic compression within dynamic range to obtain a compressed sound spectrogram. In the invention, the noise suppression threshold can be determined according to the estimated noise average power and used for judging and selecting for the noise suppression, thereby realizing the real-time suppression for the noise part of the sound spectrogram and improving the signal-to-noise ratio of the spectrogram.

Description

technical field [0001] The present invention relates to an ultrasound system that uses spectral Doppler technology to measure fluid flow velocity and displays it in the form of a spectrogram, and in particular to a signal processing method for using spectral Doppler technology to measure blood flow velocity and display it in the form of a spectrogram. and system. Background technique [0002] Ultrasound technology is widely used in medical imaging and measurement due to its non-destructive nature. When the ultrasound system emits a pulse wave of a specific frequency to scan the tissue, such as blood flow or tissue movement, the frequency difference between the echo frequency and the frequency of the transmitted wave is called the Doppler frequency. According to the size of the Doppler frequency, the radial relative movement speed of the blood flow or tissue relative to the probe can be measured; according to the time difference between the transmitted pulse and the receptio...

AI Technical Summary

Problems solved by technology

In the ultrasonic diagnosis, the echo effects of different patients are obviously different. For example, for different body types, due to the different depths of the same blood vessel, the attenuation coefficient is also different, and the noise level and signal-to-noise ratio of the echo signal are different. In addition, the same patient can have similar problems in different positions, so that there is an uncertain part of sometimes low intensity signal and noise, affecting the quality of the sonogram and ultimately the reliability of the diagnosis

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