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Method for assessing brain age based on neural images

A neural and imaging technology, applied in neural architecture, biological neural network model, computing, etc., can solve the problem of lack of effective, reliable and sensitive technology for brain aging characteristics.

Inactive Publication Date: 2019-07-09
BEIJING UNIV OF TECH
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Problems solved by technology

But the whole model is directly processed based on the less sensitive brain image features
[0005] Lack of effective, reliable, and sensitive techniques for extracting brain aging features based on neuroimaging

Method used

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  • Method for assessing brain age based on neural images
  • Method for assessing brain age based on neural images
  • Method for assessing brain age based on neural images

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Embodiment Construction

[0036] In order to make the technical process of the present invention more specific and definite, the present invention will be described in detail below based on figures and tables.

[0037] The present invention is a brain age estimation method based on neuroimaging. First, the experimental data will be described in detail:

[0038] refer to figure 1 , the data used in the present invention all adopts medical imaging open database, wherein comprises ADNI database data 194 examples, IXI database data 619 examples, OASIS database data 416 examples. The experimental samples were screened according to the information and health status, 100 cases of abnormal samples were removed from the 1229 cases of data, 29 cases of the invalid information group were removed, 506 cases of the group under 50 years old and over 90 years old were removed, and finally 594 cases of MRI data were obtained. Including ADNI database data 193 cases, IXI database data 273 cases, OASIS database data 128...

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Abstract

A method for assessing brain age based on neural images relates to the field of brain age prediction. There is a shortage of an effective, reliable and sensitive technology in the process of extracting brain aging characteristics based on neural images. The method specifically comprises the following steps: step 1, establishing a neural image data set; step 2, performing neural image preprocessing; step 3, extracting features; 4, performing feature pooling and dimension reduction; and 5, carrying out feature selection and model construction. According to the method, the degree of deviation from the average development track in the human brain development process is evaluated, and noninvasive and universal early warning evaluation is provided for brain development.

Description

technical field [0001] The invention relates to the field of brain age prediction, and more specifically relates to a method for estimating brain age based on neuroimages. Background technique [0002] As the most advanced nerve center of the human body, the brain controls various thoughts, behaviors and social activities of the human body. With the growth of age, the organizational structure and functional morphology of the brain will gradually change to varying degrees. The degree to which an individual's brain development trajectory deviates from the average development trajectory of a healthy brain can provide an early warning of potential problems in that brain. Therefore, constructing a brain health assessment model based on the brain characteristic patterns contained in neuroimaging data can help understand the sub-health state of the brain, and provide a non-invasive and universal early warning for brain development. [0003] In the field of brain age prediction, t...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06T7/00G06T7/11
CPCG06T7/0012G06T7/11G06T2207/10088G06T2207/30016G06T2207/20084G06T2207/20081G06N3/045G06F18/211G06F18/2135
Inventor 林岚田苗吴玉超吴水才
Owner BEIJING UNIV OF TECH
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