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Regional brain age prediction method, non-transitory computer readable medium and device

A regional, gray matter technology, applied in the field of brain age prediction, can solve the problem of high risk

Pending Publication Date: 2021-03-26
NATIONAL YANG MING UNIVERSITY
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Problems solved by technology

[0003] Among them, brain age can be used as one of the clinical biomarkers for the assessment of neurodegenerative diseases, neurodevelopmental diseases, neuropsychiatric diseases and aging-related risk factors, such as Alzheimer's disease (Alzheimer's Disease, AD), also known as old age Although the cause of dementia is still unclear, it is related to a certain degree of brain atrophy. If the estimated brain age is greater than the chronological age, the risk of Alzheimer's disease can be inferred. higher

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  • Regional brain age prediction method, non-transitory computer readable medium and device
  • Regional brain age prediction method, non-transitory computer readable medium and device
  • Regional brain age prediction method, non-transitory computer readable medium and device

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[0039] The implementation of the present invention will be described in detail below with reference to the drawings and examples, so as to fully understand and implement the implementation process of how to use technical means to solve technical problems and achieve technical effects in the present invention. It should be noted that the images described in this case are all three-dimensional images, and in order to avoid too complicated drawings, only two-dimensional images are used to present the schematic diagrams of each embodiment. Also, although the terms "first", "second", etc. may be used herein to describe various images, these images should not be limited by these terms.

[0040] Please see first figure 1 , figure 1 It is a method flowchart of an embodiment of the method for regional brain age prediction of the present invention, and its steps include: receiving the first T1-weighted image of the brain of the subject (step 110); performing a tissue segmentation progr...

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Abstract

A regional brain age prediction method comprises the following steps: receiving a first T1 weighted image of the brain of a to-be-tested person; performing a tissue segmentation procedure on the firstT1 weighted image to obtain a first gray image; registering the first gray matter image to a normal subject image template established by the superposition program; capturing a first gray matter structure characteristic of the to-be-detected brain area; predicting the predicted age of the to-be-tested brain area through the optimized model parameter value corresponding to the to-be-tested brain area and a machine learning algorithm or a deep learning algorithm of the optimized model parameter value according to the first gray matter structure characteristic of the to-be-tested brain area; andobtaining an age difference value corresponding to the to-be-tested brain area according to the predicted age of the to-be-tested brain area and the actual foot age of the to-be-tested person, and outputting an evaluation report. Therefore, an objective biometric indicator can be provided to detect possible changes in different brain regions.

Description

technical field [0001] The present invention relates to a brain age prediction method, non-transitory computer-readable medium and equipment, especially a regional brain age prediction method, non-transitory computer-readable medium and equipment. Background technique [0002] With the advent of an aging society, many diseases that accompany aging are inseparable from brain health. However, brain structure changes significantly with age, and the degree of change varies from person to person. Therefore, observing the aging degree of brain structure based on medical imaging can be used to assess individualized brain health information. [0003] Among them, brain age can be used as one of the clinical biomarkers for the assessment of neurodegenerative diseases, neurodevelopmental diseases, neuropsychiatric diseases and aging-related risk factors, such as Alzheimer's disease (Alzheimer's Disease, AD), also known as old age Although the cause of dementia is still unclear, it is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10G06T7/33A61B5/00
CPCG06T7/0014G06T7/10G06T7/33A61B5/4088G06T2207/20081G06T2207/30016
Inventor 周坤贤林庆波郭镇源
Owner NATIONAL YANG MING UNIVERSITY
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