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Brain function network intra-cortex work state and inter-cortex work state determination method

A technology of working status and functional network, applied in image enhancement, instrumentation, application, etc., can solve the problem of difficult repeatability of fMRI function positioning, and achieve the effect of reducing correlation and good performance

Active Publication Date: 2016-08-03
SIEMENS HEALTHINEERS LTD
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Problems solved by technology

However, reproducibility of fMRI functional mapping remains a challenge, and mapping results do not always agree with findings from invasive methods

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  • Brain function network intra-cortex work state and inter-cortex work state determination method

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Embodiment Construction

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the following specific examples are given to further describe the present invention in detail.

[0023] In the field of fMRI, the human brain is studied using lower frequency (0.1Hz-0.01Hz), time-dependent blood oxygen saturation level (BOLD) signals acquired by fMRI during the resting state. Currently, resting-state brain functional network analysis of single-scan data is usually based on the assumption that brain functional network activity does not change over time: linear correlation coefficients are calculated throughout the scan period, and the linear correlation coefficients are used to characterize connection strength. Specific methodological approaches include: seed-based region-of-interest (ROI) analysis (where time series of ROIs are used as regressors to query across the brain for regions with similar temporal behavior) and independent component analysis, a mode...

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Abstract

The invention discloses a brain function network intra-cortex work state and inter-cortex work state determination method comprising the following steps: a first acquisition step, collecting a plurality of first blood oxygen saturation level time point vectors of a plurality of first grey matter voxels of a first cortex of a brain function network template, wherein each the first blood oxygen saturation level time point vector respectively comprises blood oxygen saturation level signals of each the first grey matter voxel on various continuous time points in a specific time period; a first cluster step, clustering the first blood oxygen saturation level time point vectors as a plurality of first grey matter voxel cooperation time point classes by taking the blood oxygen saturation level signals as targets, wherein the first grey matter voxel cooperation time point classes refer to the cluster of each the first grey matter voxel at a plurality of discrete time points in a specific time period; a first determination step, determining the plurality of first grey matter voxel cooperation time point classes as the intra-cortex work state of the first cortex.

Description

technical field [0001] The invention relates to the technical field of magnetic resonance imaging, in particular to a method for determining the intracortical working state and the intercortical working state of a brain functional network using a magnetic resonance imaging system. Background technique [0002] Magnetic resonance imaging (Magnetic Resonance Imaging, MRI) is a technique that uses magnetic resonance phenomena for imaging. The principle of magnetic resonance phenomenon mainly includes: atomic nuclei containing a single number of protons, such as hydrogen nuclei widely present in the human body, the protons have spin motion, just like a small magnet, and the spin axis of these small magnets has no certain rules. External magnetic field, these small magnets will be rearranged according to the magnetic force lines of the external magnetic field, specifically in two directions parallel to or antiparallel to the magnetic force lines of the external magnetic field, an...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055
CPCA61B5/0042A61B5/055A61B5/14542A61B5/4064A61B2576/026G06T7/0012G06T2207/10016G06T2207/10088G06T2207/20076G06T2207/30016G16H30/40
Inventor 钱天翼
Owner SIEMENS HEALTHINEERS LTD
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