Image processing-based blood vessel diameter adaptive, pixel-level and visual quantitative characterization method

Abstract

The invention discloses a blood vessel diameter self-adaptive, pixel-level and visual quantitative characterization method based on image processing, and the method does not need any parameter, carries out the binary image processing of a blood vessel image, and achieves the precise pixel-level characterization of a blood vessel through distance transformation, self-adaptive distance transmission and self-adaptive smoothing operation. The problems that in an existing blood vessel diameter characterization method, parameter setting is numerous, visual research cannot be achieved, original blood vessel forms are damaged due to the fact that skeletonization is needed, and pixel-level characterization cannot be achieved can be solved, self-adaptive operation can be directly conducted on the blood vessel under the condition that the original blood vessel forms are reserved, and the blood vessel diameter characterization accuracy is improved. And pixel-level diameter characterization is realized through pseudo-color coding, so that the research on extraction of blood vessels with specific sizes is facilitated, and the research on the diameter dynamic change of the blood vessels is also facilitated.

Description

technical field [0001] The invention belongs to the technical field of fiber diameter measurement characterization and statistics, and in particular relates to an image processing-based self-adaptive, pixel-level, and visualized quantitative characterization method for blood vessel diameter. Background technique [0002] Blood vessels are channels for blood to transport oxygen and nutrients to the whole body, and are also an important channel for the body to excrete metabolic products. When vascular disease occurs, it often causes great pain to patients and even threatens their lives; especially cardiovascular and cerebrovascular diseases pose a serious threat to human health, accounting for more than 30% of the total number of deaths worldwide. Obtaining morphological changes with high precision and a high degree of quantification based on acquired vascular images is of great significance for establishing the relationship between the structure and function of the vascular s...

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Problems solved by technology

[0006] In view of the above, the present invention provides a blood vessel diameter self-adaptive, pixel-level, and visualized quantitative characterization method based on image processing, which can solve the problems of existing vascular diameter characterization methods with various parameter settings, inability to visualize research, and the need for skeletonization. For the problem that the shape of the blood vessel is damaged and the pixel-level representation cannot be realized, the original shape of the blood vessel can be directly and adaptively calculated, and the pixel-level diameter representation can be realized through pseudo-color coding

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