Magnetic resonance imaging (MRI) based brain disease individual prediction method and system

A prediction method and magnetic resonance technology, applied in the fields of bioinformatics and computational medicine, can solve problems such as limitations, limited promotion, and poor repeatability
CN106156484AInactive Publication Date: 2016-11-23INST OF AUTOMATION CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
INST OF AUTOMATION CHINESE ACAD OF SCI
Publication Date
2016-11-23
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a magnetic resonance imaging (MRI) based brain disease individual prediction method and a magnetic resonance imaging (MRI) based brain disease individual prediction system. The method comprises the following steps: 1: obtaining the MRI of the brain of a patient with mental diseases; 2: carrying out denoising and dimension reduction treatment on the MRI of the brain of the patient; 3: carrying out feature selection by utilizing a ReliefF algorithm; 4: adaptively obtaining a spatial brain area by using a spatial cluster analysis method; 5: removing redundant features by utilizing a correlation-based feature selection algorithm, thus obtaining an optimal feature subset; 6: carrying out multiple linear regression analysis based on the optimal feature subset to recognize potential biomarkers. The method has the beneficial effects that the embodiment of the invention integrates various machine learning methods and can rapidly and conveniently achieve quantitative and individual accurate prediction of the interest features of mental diseases, such as clinical indexes, based on various image data in different mode types, thus being beneficial to understanding the brain structures, function abnormity and potential pathogenesis of the diseases.
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Description

technical field

[0001] Embodiments of the present invention relate to the technical fields of biological information and computational medicine, and in particular to a method and system for individualized prediction of brain diseases based on magnetic resonance images. Background technique

[0002] With the development of economy, health and medical level, the average life expectancy of people all over the world has been extended. But at the same time, due to many factors such as increased competitive pressure, the incidence of mental illness is increasing year by year worldwide, and it has become one of the main causes of death[1] (van Waarde et al.A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression. Mol Psychiatry 20, 609-614, 2015). Clinically, people's understanding of mental illness is mainly through magnetic resonance imaging (MRI). As a non-invasive imaging technique, it has greatly advanced the u...

Claims

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