Ultrasonic Target Motion Tracking Method

Abstract

The invention belongs to the field of medical treatment and image processing, and provides an ultrasonic target motion tracking method. The ultrasonic target motion tracking method comprises the steps of identifying a target image selected by a tracker on a first frame, defining the target image as target information to be tracked, defining the search range of the next frame around the target information, calculating coefficients of similarity between the frame and the target information in a sliding window within the search range, and using the position with the maximum similarity coefficient as the tracked position of the frame. In order to not lose a target, a method of adjusting the search range of the next frame in a self-adaptation mode according to the maximum similarity coefficient is provided. In order to reduce the frequency of the jitter phenomenon, a method for calculating the similarity coefficient in a central weighting mode is provided. According to the ultrasonic target motion tracking method, a structural similarity coefficient model is used in cooperation, tracking is carried out on the target by adjusting the search range in the self-adaptation mode on the basis of the target information and the central weighting similarity coefficient of an image in the sliding window, the problem of jitter is solved, and meanwhile the target can be precisely tracked.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to an ultrasonic target motion tracking method. Background technique [0002] In contrast-enhanced ultrasound diagnosis, it is often necessary to perform dynamic quantitative analysis on the section of a certain blood vessel or the section of a certain tumor, and these target areas are difficult to detect due to the movement of the diagnosed person’s breathing or the movement of the diagnostician and the probe. It is fixed at a certain position on the screen, which leads to the input of quantitative analysis mixed with non-target area information or even no target area information at all, which greatly reduces the reliability of quantitative analysis data. This problem shows that the target area for quantitative analysis should not be fixed at a certain position on the screen, but should move with the movement of the target. [0003] On the other hand, ultrasonic image targets are of...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the embodiments of the present invention is to provide a method for tracking ultrasonic target motion, which solves the problem of inaccurate target tracking in the prior art

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