fMRI data classification and identification method and device based on brain area function connection

A technology of data classification and recognition methods, which is applied in image data processing, character and pattern recognition, image analysis, etc., and can solve problems such as the curse of dimensionality
CN112233086AActive Publication Date: 2021-01-15NANJING UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
NANJING UNIV OF TECH
Publication Date
2021-01-15

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Abstract

The invention designs an fMRI data classification and recognition method and device based on brain area function connection. The method comprises the steps: acquiring fMRI data of a testee; preprocessing the obtained fMRI data to obtain a brain gray matter image; segmenting the brain gray matter image into a plurality of brain regions with different functions, and extracting an average voxel timesequence of each brain region; based on the fuzzy decision rough set, selecting a part of brain regions with significant differences from the plurality of functional brain regions; calculating Pearsoncorrelation coefficients among different brain regions based on the selected partial brain regions, and performing nonlinear processing on the coefficients by adopting Fisher-z transform to obtain afunctional connection matrix of the partial brain regions; sparsifying the correlation coefficient values in the matrix, reserving the correlation coefficient values above a threshold value, and expanding the matrix into a one-dimensional feature vector; and taking the obtained one-dimensional feature vector as input and sending the one-dimensional feature vector to a trained SVM recognition modelto obtain an output label of the testee and judge the fMRI data category of the testee.
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Description

technical field

[0001] The invention belongs to the technical field of data classification and recognition, and in particular relates to a fMRI data classification and recognition method based on brain region functional connections. Background technique

[0002] In recent years, the rapid development of medical imaging has provided very important clinical reference value for the analysis of brain imaging data and the observation of brain activity status, which has brought the research of human brain into a new stage. Currently, the methods used to study brain activity mainly include: functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG), electron emission tomography (PET), single photon emission tomography (SPECT), etc. . Among them, fMRI technology is a non-radioactive and non-invasive means of detecting the dynamic activity of brain function, with high temporal and spatial resolution, and has become the most commonly used...

Claims

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