Alzheimer's disease and mild cognitive impairment identification method based on two-dimension features and three-dimension features

A technology for Alzheimer's disease and cognitive dysfunction, applied in the field of computer-aided diagnosis, can solve problems such as unfavorable recognition and classification, difficulty in accurately expressing medical images, etc.

Inactive Publication Date: 2015-09-02
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, with the development of technology, it is difficult to accurately express the characteristics of medical images by using a single feature, which is not conducive to the later recognition and classification

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  • Alzheimer's disease and mild cognitive impairment identification method based on two-dimension features and three-dimension features
  • Alzheimer's disease and mild cognitive impairment identification method based on two-dimension features and three-dimension features
  • Alzheimer's disease and mild cognitive impairment identification method based on two-dimension features and three-dimension features

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Embodiment Construction

[0018] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that the following description is only used to explain the present invention, not to limit the present invention.

[0019] The overall flowchart of the recognition method for Alzheimer's disease and mild cognitive impairment based on three-dimensional morphological features and two-dimensional texture features proposed by the present invention is as follows figure 1 As shown, the details are as follows:

[0020] Step (1) is to preprocess the structural MRI images, including patient images and normal person images. A voxel-based approach to brain morphology and diffeomorphism anatomical registration via exponentiation Lie algebras was employed. The VBM method is a voxel-based morphometric method, which displays the morphological changes of brain tissue by cal...

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Abstract

The invention provides an Alzheimer's disease and mild cognitive impairment identification method based on two-dimension features and three-dimension features. The method particularly comprises a step of performing pretreatment of a medical image, wherein the pretreatment comprises pre-segmentation, registration and other processes; a step of performing two-dimension textural feature extraction of the medical image, wherein features comprise the quadratic statistic of a gray-level co-occurrence matrix and a multiscale and multidirectional feature value of Gabor wavelet transformation; a step of performing three-dimension morphological feature extraction of the medical image, i.e., extracting volume features of an area of interest; a step of performing feature fusion of three-dimension morphological features and two-dimension textural features; and a step of constructing a support vector machine to achieve identification of Alzheimer's disease and mild cognitive impairment. According to the method provided by the invention, the three-dimension morphological features and the two-dimension textural features are combined, so that the content of the medical image can be expressed in a comprehensive and accurate manner. The method can improve identification of Alzheimer's disease and mild cognitive impairment, thereby providing a more effective clinic assistant diagnosis.

Description

technical field [0001] The invention belongs to the field of computer-aided diagnosis, and more specifically relates to a method for computer-aided identification of Alzheimer's disease and mild cognitive impairment based on brain medical images. 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%. Cognitive Impairment (MCI) is considered to be a clinical state between normal aging and AD. With the development of related technologies in the field of imaging medicine and computers, the diagnosis of diseases today largely depends on the recognition of medical images to assist doctors in diagnosis. Therefore, the computer-aided recognition and classification based on medical images can be used to assist doctors in diagnosing AD and MCI. of great importance and significance. Among them, the prel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06F18/2411
Inventor 蓝天王伟丁熠秦臻张聪黄若菡陈浩肖哲徐路路陈圆
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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