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A Multi-Correlation Source Scanning Imaging Method Based on Brain Source Spatial Segmentation

A scanning imaging and space segmentation technology, which is applied in the interdisciplinary field of brain science and information technology, and can solve the problem that the correlation source cannot be reconstructed.

Active Publication Date: 2022-02-15
WUHAN UNIV
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Problems solved by technology

[0003] Aiming at the above problems, the present invention proposes a distributed multi-correlation source scanning imaging method based on brain source space segmentation—the Source Construction by Hierarchical Union (SOCHU) method, which aims to solve the problem of adaptive beam Form the problem that the source of correlation cannot be reconstructed, and avoid the constraint that methods such as Champagne need to rely on pre-stimulus data

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  • A Multi-Correlation Source Scanning Imaging Method Based on Brain Source Spatial Segmentation

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Embodiment Construction

[0013] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0014] please see figure 1 , a kind of multi-correlation source scanning imaging method based on brain source space segmentation provided by the present invention comprises the following steps:

[0015] Step 1, generation of general probability model of SOCHU method. Specific steps include:

[0016] Step 1.1: Assume that the sensor collects MEG (or EEG) data outside the brain at time t expressed as y(t)=[y 1 (t),y 2 (t),...,y M (t)] T (i=1,2,…,M), where y i (t) represents the extracerebral data collected by the sensor at time t, and M is the number of ...

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Abstract

The invention discloses a multi-correlation source scanning imaging method based on brain-source space segmentation. Aiming at the imaging analysis of data collected by the human brain during sleep, a brand-new distributed brain-source reconstruction scanning method—multi-layer regional joint The source reconstruction SOCHU method overcomes the shortcomings that cannot be analyzed by empirical Bayesian estimation and distributed tomography method (ie Champagne method) with convex plane boundaries. To solve the problem that adaptive beamforming cannot reconstruct the correlation source, and avoid the constraints that methods such as Champagne need to rely on pre-stimulus data. The SOCHU method adopts the idea of ​​scanning and solving source activities one by one with the adaptive beamforming method. When solving any potential activity source, it does not need to suppress other incoming signals, but uses uninteresting virtual sources to estimate other incoming signals. , which not only ensures the solution of potential source activities, but also removes the influence of correlation.

Description

technical field [0001] The invention belongs to the interdisciplinary field of brain science and information technology, and relates to an imaging method for brain-source space segmentation, in particular to a distributed multi-correlation source scanning imaging method based on brain-source space segmentation. Background technique [0002] Magnetoencephalography (MEG) and electroencephalography (Electroencephalogram, EEG), as two popular methods of non-destructive detection of brain activity, record the magnetic and electric fields generated by brain activity on the surface of the scalp, and then image the brain activity Research. The process of human brain activity can be realized by reconstructing brain-source activity from the collected MEG and EEG data. Combined with the brain source activity model, brain structure information and sensor system information, the leadfield orientation matrix is ​​solved through Maxwell's equations to describe the relationship between the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/10
CPCG06T7/0012G06T7/10G06T2207/30016
Inventor 陈丹蔡畅
Owner WUHAN UNIV