Brain nuclear magnetic resonance image segmentation method and system

Abstract

The invention relates to the technical field of medical image processing, and provides a brain nuclear magnetic resonance image segmentation method and system. The method mainly comprises the steps of brain nuclear magnetic resonance image data preprocessing, brain nuclear magnetic resonance image segmentation model construction and optimization, brain nuclear magnetic resonance image segmentation and result output. The system comprises a computer processor, a memory, a brain nuclear magnetic resonance image preprocessing unit, a brain nuclear magnetic resonance image segmentation model training unit and a brain nuclear magnetic resonance image segmentation and result output unit. According to the method, firstly, a space structure network of brain nuclear magnetic resonance images is constructed, pixel point information of brain function tissue activation images can be recorded, the space structure relation between the pixel point information and the space structure network can be effectively expressed, and then a brain nuclear magnetic resonance image segmentation model is established through an image variation auto-encoder structure; therefore, the model has a certain generation capability and can obtain a brain nuclear magnetic resonance image segmentation result with higher robustness and interpretability.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a brain MRI image segmentation method and system. Background technique [0002] Nuclear magnetic resonance imaging (Nuclear Magnetic Resonance Imaging, NMRI), also known as spin imaging, is to use the nuclear magnetic resonance phenomenon of a certain nucleus in human tissue to process the radio frequency signal obtained by a computer to reconstruct a certain layer of the human body. Image diagnostic techniques. Magnetic resonance imaging is another major advancement in medical imaging after CT, and has been rapidly developed and promoted since it was applied in the 1980s. The main advantages of nuclear magnetic resonance imaging technology include: a. Compared with other medical imaging technologies, the imaging contrast of soft tissues is higher; b. It is easier to conduct qualitative analysis on a certain part of the human body and effectively find abnormal r...

AI Technical Summary

Problems solved by technology

For MRI images of brain tissue, because different brain tissues such as white matter, gray matter, and cerebrospinal fluid are mixed together, the ambiguity of the transition area between tissues is more prominent, and the traditional hard-divided clustering method is no longer applicable.

In addition, previous clustering-based image segmentation methods mainly focus on the gray level information of a single pixel, ignoring the inherent spatial information in MRI images, and are more sensitive to noise.

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