Method and device for suppressing motion artifacts in color blood flow imaging

Abstract

Embodiments of the present invention provide a method and device for suppressing motion artifacts in color blood flow imaging. Wherein, the method includes: acquiring the blood flow velocity and the corresponding grayscale image in the color blood flow imaging, removing the blood flow velocity smaller than the flow velocity threshold value in the blood flow velocity, and obtaining the processed blood flow velocity, in the In the same position of color blood flow imaging, if the blood flow velocity of several frames of images before the moment of color blood flow imaging is zero, or the blood flow velocity of only one frame of image is not zero, and / or the corresponding grayscale If the gray value of the image is greater than or equal to the mean value of the gray histogram, it is determined that the processed blood flow velocity is a motion artifact; the motion artifact is removed to obtain a real blood flow velocity. The method and device for suppressing motion artifacts in color blood flow imaging provided by the embodiments of the present invention can achieve the technical effect of suppressing motion artifacts in color blood flow imaging.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of ultrasound imaging, and in particular to a method and device for suppressing motion artifacts in color blood flow imaging. Background technique [0002] In 1842, the Austrian physicist Doppler first proposed a physical phenomenon, that is, when there is motion between the vibration source and the receiver, the frequency of the received vibration changes due to the motion. The ultrasonic probe used in ultrasonic examination is the vibration source, and the heart and blood flow of the person being examined are the receiver. There is a change in the vibration frequency between the two, which is called the "Doppler" effect. On this basis, scientists use pulse Doppler technology as the basis, and use technologies such as moving target detection (MTI), autocorrelation function calculation, digital scan conversion and color coding to obtain color imaging of blood flow, so it is called Colo...

AI Technical Summary

Problems solved by technology

Regarding the removal of the second signal, clutter filtering, many people have done research in this area before and achieved certain results, but it is difficult to completely remove the third signal

In addition, adjusting a higher speed scale will also have a certain inhibitory effect on motion artifacts, but at the same time it will also remove some low-speed blood flow signals

There are not many studies on motion artifacts, most of which start with grayscale images, blood flow, energy, variance, etc., which are more complicated to deal with

Images