Progressive type mild cognitive impairment identification method based on neuroimaging

Abstract

The invention discloses a progressive type mild cognitive impairment identification method based on neuroimaging, and belongs to the technical field of computer image processing. The MRI (Magnetic Resonance Imaging) graph and the PET (Positron Emission Tomography) graph of a test sample are downloaded from an ADNI (Alzheimer's Disease Neuroimaging Initiative) database and are subjected to preprocessing and sample screening to obtain N groups of sample images; the AAL (Anatomical Automatic Labeling) template of the human is selected to independently manufacture 90 cerebral region templates for the sample images, and the grey matter voxel value of a corresponding cerebral region is obtained to obtain N*180-dimensional data; and finally, a second level integration classifier is constructed, feature dimension reduction is carried out on the obtained data, a reduced dimension is subjected to optimization, and the data is applied to the second level integration classifier to carry out classification identification on progressive type MCI (Mild Cognitive Impairment) patients and non-progressive type MCI patients. The data is subjected to the dimension reduction processing by a random projection method, then, the data is applied to the second level integration classifier, classification accuracy is 74.22%, sensitivity is 66.25%, specificity is 82.19%, operation speed is improved, and the classification accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of computer information image processing, and more specifically, to a neuroimage-based identification method for progressive mild cognitive impairment. Background technique [0002] Alzheimer's disease (Alzheimer's Disease, AD) is a fatal neurodegenerative disease, which seriously damages the health of the elderly. The incidence rate of the elderly over 80 years old in my country is 30%. Impairment (MCI) is considered to be a clinical state between normal aging and AD. Not all MCI patients will progress to AD, so mild cognitive impairment (MCI) is the best period for prevention and treatment of Alzheimer's disease (AD). However, if we want to give effective preventive interventions during the MCI period, we must be able to effectively identify and distinguish patients with progressive MCI (MCI-C) and patients with non-progressive MCI (MCI-NC). [0003] With the development of imaging medicine and computer i...

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Problems solved by technology

[0009] In order to overcome the deficiencies of the prior art, the present invention proposes a progressive mild cognitive impairment identification method based on neuroimaging. The present invention uses the random projection dimensionality reduction method to perform dimensionality reduction processing on the data, which removes the unnecessary Relevant and redundant information, the application of a two-level integrated classifier solves the problem of insufficient samples, and the constructed strong learner improves the classification performance, which can improve the classification performance while improving the classification recognition speed

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