Method and system for detection edge of blood vessel graphic tissue structure and blood vessel endangium

Abstract

The invention discloses a method and a system for detection an edge of a blood vessel graphic tissue structure and a blood vessel endangium. The method comprises the following steps: acquiring a two-dimensional ultrasonic blood vessel grayscale image; searching for the central position of a blood vessel on the basis of the structural characteristics of the blood vessel and setting an interesting area; searching a blood vessel cavity and the blood vessel endangium of the interesting area, and / or the initial segmentation boundary between the medial layer of the blood vessel and a blood vessel adventitia, creating an energy functional on the basis of a grayscale distribution function of the segmentation area, and taking the position corresponding to the extreme value of the energy functional as the boundary position between neighbouring areas; and calculating and displaying blood vessel wall parameters. The grayscale distribution-based energy functional is introduced into the detection of the boundary of the tissue structural area; stronger robust estimation is subjected to the edge of the tissue structure by analyzing the grayscale distribution characteristics of each tissue structure; and partial extreme value is avoided.

Description

technical field [0001] The invention relates to an edge detection method of an ultrasonic image tissue structure, in particular to an edge detection method of an ultrasonic blood vessel image tissue structure and its application in the detection of vascular intima. Background technique [0002] In ultrasonic images, methods such as gray-level extreme value detection are usually used for tissue structure boundary segmentation, and a single gray-scale extreme value detection method will have some disadvantages. Such as vascular intima-media thickness (Intima-Media Thickness, IMT) detection method, this IMT detection is a method based on image detection of vascular intima-media thickness, IMT can accurately reflect the hardening of the arterial tube, while the carotid artery IMT detection can accurately identify and reflect early arteriosclerosis. IMT detection usually includes: the setting of the region of interest, the detection of the two interfaces, and the calculation and...

AI Technical Summary

Problems solved by technology

But this simple brightness threshold-based method is not easy to obtain continuous boundaries when the edge brightness is uneven

[0004] It can be seen that there are certain problems in the edge detection of ultrasonic image tissue structure in the prior art, especially in the detection of IMT, and it is necessary to improve the technology to obtain better results.

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