A magnetic resonance image brain zoning method and system

A magnetic resonance imaging and brain partitioning technology, applied in the field of image processing, can solve the problems of poor accuracy of brain partitioning results, high complexity of dictionary algorithms, and low computing efficiency, and achieve the effect of improving accuracy

Active Publication Date: 2019-03-01
SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
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Problems solved by technology

Compared with the clustering algorithm, the dictionary learning algorithm has higher accuracy, but the dictionary algorithm is more complex, the partition result is limited by the amount of fMRI data, it is difficult to find a suitable training set, and the operation efficiency is low
[0006] To sum up, the existing MRI brain partition methods generally have the problems of low processing efficiency for high-dimensional big data and poor accuracy of brain partition results. Therefore, there is an urgent need for a brain partition method suitable for high-dimensional big data. A method with high processing efficiency and high accuracy of brain partition results

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  • A magnetic resonance image brain zoning method and system
  • A magnetic resonance image brain zoning method and system
  • A magnetic resonance image brain zoning method and system

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[0087] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0088] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0089] The Gram matrix, that is, the Gram matrix, can be seen as an eccentric covariance matrix between features...

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Abstract

A magnetic resonance image brain zoning method and system are disclosed. The magnetic resonance image brain zoning method comprises: preprocessing fMRI brain images; the dynamic evolution of quantum system is used to partition the preprocessed fMRI brain images. The invention converts brain regions into a dynamic evolution process of a quantum system. The fMRI images of a single individual or multiple individuals are partitioned by quantum process, which makes use of the advantages of quantum model and quantum algorithm in processing big data with high dimension, and is suitable for fMRI imageprocessing and brain functional partitioning, and improves the processing efficiency of fMRI images and the precision of brain partitioning results.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a magnetic resonance imaging brain partition method and system. Background technique [0002] Brain functional partitioning based on functional magnetic resonance imaging (fMRI) refers to the technique of dividing the brain into a number of consistent and non-overlapping functional regions based on fMRI images using a certain method. Studies have shown that functional partitioning based on fMRI images has higher functional consistency than traditional brain structural partitioning, which is of great significance to the study of brain functional networks. Moreover, functional zoning based on fMRI images can reflect the functional characteristics of the brain and reveal the functional characteristics of the whole brain or local brain regions. Therefore, the functional division of the brain based on fMRI images has important practical significance. [0003] At present, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/33
CPCG06T7/0012G06T2207/10088G06T2207/30016G06T7/33
Inventor 路伟钊侯坤邱建峰
Owner SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
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