Brain functional region positioning method based on local smoothing regressions

A technology of brain function area and regression method, which is applied in the field of image processing and can solve problems such as equivalence

Active Publication Date: 2013-04-03
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

In fact, this randomized optimization problem is equivalent to the single-element multiple regression problem

Method used

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  • Brain functional region positioning method based on local smoothing regressions
  • Brain functional region positioning method based on local smoothing regressions
  • Brain functional region positioning method based on local smoothing regressions

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Embodiment Construction

[0018] The functional area positioning method of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0019] figure 1 A flow chart of the method of the invention is shown.

[0020] Step 1: Data preprocessing and determining the design matrix;

[0021] In order to limit the influence of the T1 effect, we discarded the first 3 scanned images in each scanning stage, and then performed temporal correction and spatial correction on the remaining scanned images, removed baseline differences in different scanning stages, and performed high-pass filtering to remove scanning machine drift and low frequency artifacts.

[0022] Design matrix X ∈ R N×P , where N is the number of time points scanned, and P is the number of regressors. The P regressors represent expected brain...

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Abstract

The invention provides a brain functional region positioning method based on local smoothing regressions. The brain functional region positioning method based on the local smoothing regressions comprises the following steps of pretreating data and deciding a design matrix X; taking a voxel vi as the center of a sphere and r as a semidiameter for the establishment of a spherical selected region and extracting the time sequence of all the voxels in the spherical selected region; according to the time sequence of all the voxels in the spherical selected region and the design matrix, forming an objective function and optimizing the objective function; calculating a condition specificity effect of the voxel vi; turning to the next voxel vi+1 and repeating steps from S2 to S4 till the execution of the steps on each voxel of a whole brain; and setting a threshold value for a whole brain perception mapping so as to obtain a brain functional region positioning map relevant with stimulus conditions. All the generalized linear models based on the regressions of the single voxels and based on Gaussian smoothing filtering can be regarded as special cases of the invention; the brain functional region positioning method based on the local smoothing regressions can be integrated into a framework used for a searchlight method; after the obtainment of regression coefficients, mahalanobis distances between various predictor coefficients are calculated; and through the adjustment on hyper-parameters alpha and beta, smoothing effects of various degrees are obtained.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for locating brain functional areas based on local smooth regression. Background technique [0002] Functional Magnetic Resonance Imaging (fMRI) has been widely used in the diagnosis and treatment of neurological diseases and cognitive neuroscience research due to its high spatial and temporal resolution and non-invasive characteristics. fMRI generally refers to magnetic resonance imaging based on blood oxygen level-dependent (BOLD), which reflects the changes of magnetic resonance signals caused by changes in cerebral blood flow and cerebral blood oxygen caused by neural activities to reflect the Activity. The brain is a complex system, and magnetic resonance images of the brain respond to stimulating conditions or lesions. By using brain functional area mapping, brain activation areas specific to certain stimulus conditions can be found. [0003...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055
Inventor 田捷冯璐刘建刚
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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