Magnetic resonance imaging blood vessel segmentation method and system based on human brain tumor nuclear magnetic library

Abstract

The invention discloses a magnetic resonance imaging blood vessel segmentation method based on a human brain tumor nuclear magnetic library. On the basis of a human brain magnetic resonance tumor segmentation image, an experience segmentation threshold for blood vessel segmentation is obtained from the human brain tumor nuclear magnetic library in accordance with data of a tumor area of the human brain magnetic resonance tumor segmentation image, the human brain magnetic resonance tumor segmentation image is analyzed to obtain a blood vessel gray threshold in accordance with the experience segmentation threshold, and the blood vessel gray threshold is adopted to perform blood vessel segmentation on the human brain magnetic resonance tumor segmentation image. By using the segmentation method, automatic blood vessel segmentation of a human brain tumor magnetic resonance image is realized, manual intervention is avoided, the segmentation accuracy is increased, and an algorithm for blood vessel segmentation of the human brain magnetic resonance tumor segmentation image is simpler, so as to be more favorable for system productization. Additionally, the invention further discloses a magnetic resonance imaging blood vessel segmentation system based on the human brain tumor nuclear magnetic library.

Description

technical field [0001] The present invention relates to the field of image segmentation, in particular to a magnetic resonance image blood vessel segmentation method based on a human brain tumor nuclear magnetic library and a magnetic resonance image blood vessel segmentation system based on a human brain tumor nuclear magnetic library. Background technique [0002] Brain tumor is one of the common diseases in the nervous system, which has great harm to the function of the human nervous system. In recent years, the incidence of intracranial tumors has been on the rise. According to statistics, intracranial tumors account for about 5% of systemic tumors and 70% of childhood tumors, which pose a great threat to human life. When blood vessels are included around the tumor, the tumor will cause vascular lesions, and at the same time, in order to supply blood to the tumor, the distribution of blood vessels around the tumor will increase. In brain surgery, blood vessels must be ...

AI Technical Summary

Problems solved by technology

[0007] Based on this, it is necessary to focus on the segmentation method that requires manual participation of the operator in the process of tumor magnetic resonance image vessel segmentation, which is cumbersome to operate and has very high requirements for the operator, and is quite subjective and adopts segmentation methods and algorithms with high algorithm complexity. Too high complexity is not conducive to productization. Provide a method for segmenting blood vessels in magnetic resonance images based on human brain tumor nuclear magnetic library with low algorithm complexity and no manual participation by operators.

Images