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Mild cognitive impairment auxiliary diagnosis system and method based on brain network multi-feature analysis

A technology for mild cognitive impairment and auxiliary diagnosis, which is applied in the fields of medical automatic diagnosis, biological neural network model, computer-aided medical procedures, etc. , the effect of reducing the incidence of

Pending Publication Date: 2020-04-14
NORTHEASTERN UNIV
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Problems solved by technology

The human brain network is extremely complex, and in the existing studies, the sides of the brain network are directly analyzed as features, and the various characteristics of the brain network are rarely extracted for overall analysis. In this way, only the pairwise connections between brain intervals are considered. Difficult to reflect the overall interaction of the brain

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  • Mild cognitive impairment auxiliary diagnosis system and method based on brain network multi-feature analysis
  • Mild cognitive impairment auxiliary diagnosis system and method based on brain network multi-feature analysis
  • Mild cognitive impairment auxiliary diagnosis system and method based on brain network multi-feature analysis

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Embodiment Construction

[0027] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0028] An auxiliary diagnosis system for mild cognitive impairment based on network multi-feature analysis, such as figure 1 As shown, it includes an input module, a preprocessing module, a brain network building module, a feature extraction module, a classification diagnosis module and an output module;

[0029] The input module is used to receive the brain fMRI image input by the user, and then pass it to the preprocessing module;

[0030] The preprocessing module is used to perform temporal layer correction, head motion correction, noise removal, spatial normalization and image smoothing on the received fMRI image, and transmit it to the network building module;

[0031] The brain network building module is used to divide the brain regions of the brain fMRI images, calculate the average time series of each brain region and the correlatio...

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Abstract

The invention provides a mild cognitive impairment auxiliary diagnosis system and method based on brain network multi-feature analysis, and relates to the technical field of computer-aided diagnosis.The system comprises an input module, a preprocessing module, a brain network construction module, a feature extraction module, a classification diagnosis module and an output module. According to theinvention, various characteristics of a brain network and mild cognitive impairment diseases are comprehensively considered; based on rs-fMRI image data and a complex network theory, various featuresare calculated and analyzed and an extreme learning machine is used for classification, thereby achieving the auxiliary diagnosis of the mild cognitive impairment, reducing the workload for a doctor,improving the diagnosis accuracy, achieving the early discovery, early diagnosis and early treatment of the mild cognitive impairment, reducing the risk that a patient is converted into an irreversible Alzheimer's disease, and reducing the morbidity of the Alzheimer's disease.

Description

technical field [0001] The invention relates to the technical field of computer-aided diagnosis, in particular to a system and method for auxiliary diagnosis of mild cognitive impairment based on multi-feature analysis of brain networks. Background technique [0002] Mild cognitive impairment is a transitional stage between normal aging and Alzheimer's disease, and patients belong to a high-risk group of Alzheimer's disease. Due to the unclear pathogenesis of Alzheimer's disease, there is currently no effective treatment method. For mild cognitive impairment, there are clinical methods that can delay or even block the progression of the disease. Due to the mild clinical manifestations of mild cognitive impairment, complex pathogenic factors, and repeated illnesses, it has caused great difficulties for doctors to diagnose. At present, empirical observation and neuropsychological scale tests are mainly used in clinical practice for mild cognitive impairment. diagnosis, howeve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G06K9/62G06N3/04
CPCG16H50/20G06N3/044G06F18/24G06F18/214Y02A90/10
Inventor 王之琼刘秉佳蒋文静陈思冲
Owner NORTHEASTERN UNIV
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