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Classification of fMRI data based on structural features of brain network modules

A technology of functional magnetic resonance and modular structure, which is applied in special data processing applications, electrical digital data processing, character and pattern recognition, etc., and can solve problems such as unsatisfactory classification results and inability to classify magnetic resonance images.

Inactive Publication Date: 2015-07-29
TAIYUAN UNIV OF TECH
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Problems solved by technology

Therefore, traditional classification methods cannot classify MRI images according to the inherent properties of the brain, so the classification effect is not ideal.

Method used

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  • Classification of fMRI data based on structural features of brain network modules
  • Classification of fMRI data based on structural features of brain network modules
  • Classification of fMRI data based on structural features of brain network modules

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Embodiment Construction

[0063] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0064] A fMRI image data classification method based on the structural characteristics of the brain network module proposed by the present invention uses the brain network module structure to analyze the local aggregation characteristics of the network, reveal the potential relationship between structure and function, and effectively improve the accuracy of data classification. accuracy.

[0065] The specific implementation process of the functional magnetic resonance imaging data classification method based on the structural characteristics of the brain network module of the present invention is as follows: figure 1 shown, including the following steps:

[0066] Step S1: Preprocessing the resting-state fMRI images, then segmenting the images into regions according to the selected standardized brain atlas, and finally extracting the average time ser...

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Abstract

The invention discloses a functional magnetic resonance image data classification method based on brain network modular structure characteristics. According to the functional magnetic resonance image data classification method based on the brain network modular structure characteristics, network local gathering characteristics are described from the perspective of a modular structure, network collectivization characteristics are reflected, the potential relation between the structure and the function in the network is reflected, the defect that according to a traditional classification method, description of brain local characteristics is poor is overcome, and data classification accuracy is effectively improved.

Description

Technical field: [0001] The invention relates to a functional magnetic resonance imaging data classification method based on the structural characteristics of brain network modules. Background technique: [0002] Functional Magnetic Resonance Imaging (fMRI) is an image technology. Due to its non-invasiveness, high spatial resolution, and relatively simple use, it was quickly used by researchers in neuroscience, psychology, and A breakthrough has been made. fMRI is mainly used to study brain activation by measuring the blood oxygen level dependent signal (Blood Oxygenation Level Dependent, BOLD). BLOD mainly detects the change of blood oxygen in the human brain. When the activity of the brain nervous system is stimulated, the blood oxygen content in some areas of the brain will change. Change. When the human brain is in different states, such as task stimulation or lesion, there will be corresponding changes in the fMRI images of the brain. Therefore, it is an important a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06F19/00
Inventor 相洁郭浩陈俊杰李海芳邓红霞王会青曹锐
Owner TAIYUAN UNIV OF TECH
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