Brain nuclear magnetic resonance image segmentation method and system

An MRI image and brain technology, applied in the field of medical image processing, can solve the problems of noise sensitivity and neglect of spatial information, and achieve the effect of effective and reliable segmentation, strong generalization ability, and strong anti-noise ability.

CN113160138AActive Publication Date: 2021-07-23SHANXI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2021-07-23

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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.
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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...

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Embodiment Construction

[0094] The technical solutions in the embodiments of the present invention will be described in detail below in combination with the embodiments of the present invention and the accompanying drawings. It should be pointed out that for those skilled in the art, without departing from the principle of the present invention, some modifications and improvements can also be made, and these should also be considered as belonging to the protection scope of the present invention.

[0095] A kind of brain magnetic resonance image segmentation method described in the present invention is implemented by computer program, will follow in the following image 3 The flow shown details the specific implementation of the technical solution proposed by the present invention. Through the technical solution of the present invention, from the MR Image Data data set of Alzheimer's Disease Neuroimaging Initiative (ADNI), the brain MRI images of subjects aged between 60 and 70 years old are selected ...