Method for ultrasonic image reinforcement and noise suppression

Abstract

The invention discloses a method and a system for improving the quality of images, the method and the system comprise a denoise segment, a smoothing segment, a sharpening segment and a syncretizing segment, wherein the denoise segment is used for eliminating lumen noises in original images, the smoothing segment is used for eliminating spot noises in the images output by the denoise segment, the sharpening segment is used for increasing details and characteristics in the images output by the smoothing segment, the syncretizing segment is used for syncretizing the images output by the denoise segment, the smoothing segment and the sharpening segment. The images output by the syncretizing segment can be sent to a display device for displaying after the processing of an image processing module and other sub-modules.

Description

technical field [0001] The present invention relates to ultrasound imaging, and more particularly, to a method and device for enhancing and suppressing noise in ultrasound images. Background technique [0002] Ultrasound image enhancement and noise suppression is an image processing technique aimed at improving the quality of ultrasound images. [0003] In ultrasonic imaging, an ultrasonic transducer matrix emits ultrasonic beams, which are reflected by tissues in the human body to generate echo signals, and the returned echo signals are received by the same ultrasonic transducer matrix, and form one or more beams after beam synthesis. Scan the data on the line. Scan line data at different positions are logarithmically compressed and combined to form an ultrasound image. [0004] An important aspect of improving the quality of ultrasound images is noise suppression. The most common noise in ultrasound images is speckle noise, a phenomenon present in all coherent imaging s...

AI Technical Summary

Problems solved by technology

[0008] First, it is too complicated (especially the image segmentation link), it is difficult to realize, and its real-time performance cannot be guaranteed;

[0009] Second, as we all know, the segmentation of ultrasound images is a difficult problem that has plagued the academic community for a long time, so it is inevitable to have wrong segmentation in some parts, and the method is too dependent on segmentation, which may lead to poor processing results;

[0010] Third, even if it is possible to achieve 100% correct segmentation, the method adopts completely different processing methods for the two types of regions, which will bring obvious artificial traces, thus affecting the quality of the obtained image;

[0011] Fourth, this method is mainly designed for speckle noise, and it only has a slight inhibitory effect on lumen noise, and the effect is not obvious

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