Multidimensional Feature Classification Method Based on Brain Magnetic Resonance Image

Abstract

The invention discloses a multi-dimensional feature classification method based on a brain MR image. The brain MR image is divided into regions to extract several ROI features; ; Several ROI features and several related features are extracted from several brain MR images to form a ROI feature set and a related feature set; the optimal ROI feature subset and the optimal correlation feature set are selected respectively for the ROI feature set and the related feature set by the hybrid feature algorithm. Feature subset; set the weight factor of the function ratio of ROI features in the classifier, and integrate the optimal ROI feature subset and the optimal related feature subset through the weight factor and the multi-core SVM model to form a multi-core classifier. The invention obtains high-dimensional features, can simultaneously analyze local changes and functional connection changes caused by related diseases, has high classification accuracy, and can assist in diagnosing different diseases.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically, the present invention relates to a multidimensional feature classification method based on brain magnetic resonance images. Background technique [0002] Medical imaging refers to the technology and processing process of obtaining internal tissue images of the human body or a certain part of the human body in a non-invasive manner for medical treatment or medical research. It includes the following two relatively independent research directions: medical imaging system and medical image processing. The former refers to the process of image formation, including the research on imaging mechanism, imaging equipment, imaging system analysis and other issues; the latter refers to the further processing of the obtained image, the purpose of which is to make the original image that is not clear enough Restoration, or to highlight certain feature information in the...

AI Technical Summary

Problems solved by technology

The existing features based on brain magnetic resonance images are mainly based on voxel-based morphological features. The classification algorithm established by using this feature can only find out the structural changes of specific parts, but cannot analyze the changes of functional connections of specific parts. At present, there is no good classification algorithm for clinical use that can simultaneously analyze the changes in human body structure and the structure-functional connection on the basis of brain MRI images, which requires extracting higher-dimensional information from brain MRI images. feature and establish a classifier to realize the classification algorithm of related diseases

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