Self-adaptive ultrasonic imaging method for inhibiting tissue flicker, and device thereof

Abstract

The invention provides a self-adaptive ultrasonic imaging method for inhibiting tissue flicker, and a device thereof. The method and the device transmit ultrasonic pulses to an object to be detected, receive ultrasonic echo signals from the object to be detected, process the ultrasonic echo signals so as to obtain tissue image data, process the ultrasonic echo signals so as to obtain audio signals, process the audio signals so as to obtain blood-flow image data, and display the tissue image data or the blood-flow image data according to fusion rules, wherein a first fusion rule is adopted forthe parts with tissue flicker in the object to be detected; a second fusion rule is adopted for the parts with no tissue flicker in the object to be detected; and the first fusion rule differs from the second fusion rule. The method and the device can effectively weaken and even eliminate the tissue flicker caused by various tissue movements in ultrasonic imaging systems.

Description

technical field [0001] The present invention relates to the field of ultrasound imaging, and more particularly, to an ultrasound imaging method and device for adaptively suppressing tissue flicker. Background technique [0002] The color ultrasound imaging system uses the Doppler effect to detect the movement parameters of blood flow and organs in the human body. The Doppler frequency shift of human tissue relative to the probe will be caused by the heartbeat, respiration, periodic contraction and relaxation of the blood vessel wall or the movement of the probe relative to the human body. The situation of this kind of tissue movement is relatively complicated, it can be a single tissue movement relative to the probe, it can also be a reciprocating tissue movement relative to the probe, and it can even be twisting. For a single tissue motion, when the Doppler frequency shift of the tissue motion is higher than the Doppler frequency shift of the slow blood flow to be detected...

AI Technical Summary

Problems solved by technology

Similar to the problem encountered in spectrum shifting, when the estimated tissue motion velocity cannot correctly reflect the real tissue motion, the cut-off frequency of the wall filter set only by the tissue motion frequency will be low, which also leads to the deviation of the residual tissue energy after wall filtering. large, eventually showing tissue flickering on the image

The disadvantage of dual-channel is that two different parameter distributions (energy, velocity, variance) are used to judge tissue flickering. The parameter distributions of different people and different detection parts are too different, which makes this method too sensitive to parameters.

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