Ultrasonic Imaging System and Its Frame Average Processing Method

Abstract

The invention discloses an ultrasonic imaging system and a frame averaging treatment method thereof. The method comprises the following steps: acquiring parameters which include a frame averaging grade, a frame frequency, frame correlation coefficients and a pixel; acquiring a frame averaging weight coefficient, wherein the frame averaging weight coefficient is related to the parameters; and conducting frame averaging treatment by virtue of the frame averaging weight coefficient. According to the treatment method disclosed by the invention, the frame averaging weight coefficient is calculated in accordance with such parameters as the frame averaging grade, the frame frequency, the frame correlation coefficients and the pixel, so that the frame averaging treatment method that a frame averaging intensity is automatically optimized in accordance with the frame frequency, the frame correlation coefficients and the pixel is achieved by taking the mode of setting the frame averaging grade by a user to control the frame averaging intensity is achieved.

Description

technical field [0001] The invention belongs to the field of signal and image processing, is applied in the medical device industry, and in particular relates to an ultrasonic imaging system and a frame average processing method thereof. Background technique [0002] Ultrasound imaging has become one of the most widely used clinical diagnostic tools because of its non-invasive, real-time, convenient operation, and low price. Ultrasonic color blood flow imaging is an important imaging mode in ultrasound imaging. It is widely used in clinical practice and is an important basis for the diagnosis of various diseases. Therefore, improving the quality of ultrasound color blood flow images is of great significance to the diagnosis of clinicians. . [0003] Ultrasonic color blood flow imaging is usually based on two-dimensional tissue imaging, the user determines a region of interest (ROI box), and then performs blood flow imaging on the region, and then superimposes the blood flow...

AI Technical Summary

Problems solved by technology

[0005] In the prior art, related frame average processing technologies include, for example: (1) Control the scan line density, dynamic range and frame average intensity by calculating the correlation value between the new image frame and the previous image frame, the main purpose of which is to It is to optimize multiple ultrasonic imaging parameters through frame correlation values ​​to form a feedback control mechanism, not the frame average processing method itself; (2) Realize frame average through hardware circuit, its main function is to reduce flicker artifacts and speed mixing Overlap phenomenon, to improve blood flow continuity and expressiveness, but this method does not realize automatic optimization of frame average, and the way of hardware processing increases the cost

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