发明名称 |
METHOD FOR ESTABLISHING PREDICTION MODEL BASED ON MULTIDIMENSIONAL TEXTURE OF BRAIN NUCLEAR MAGNETIC RESONANCE IMAGES |
摘要 |
Disclosed is a method for establishing a prediction model based on a multidimensional texture of brain nuclear magnetic resonance images. Images are segmented using a region growing method, a contourlet transform method is used to extract an edge texture feature parameter of ROIs, a multidimensional database is established, and a prediction model is established using various data mining methods, comprising a Gaussian process, a support vector machine, a random forest, a Lasso regression and a semi-supervised support vector machine. The ROIs comprise a hippocampus region and an entorhinal cortex region. |
申请公布号 |
US2016284086(A1) |
申请公布日期 |
2016.09.29 |
申请号 |
US201615178716 |
申请日期 |
2016.06.10 |
申请人 |
CAPITAL MEDICAL UNIVERSITY |
发明人 |
GUO XIUHUA;GAO NI;WANG JINGJING;LUO YANXIA;GUO JIN |
分类号 |
G06T7/00;G06T7/40 |
主分类号 |
G06T7/00 |
代理机构 |
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代理人 |
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主权项 |
1. A method for establishing a prediction model based on multidimensional textures of brain nuclear magnetic resonance images, comprising segmenting the images using a region growing method, extracting edge texture feature parameters of ROIs using Contourlet transform, establishing a database, and establishing the prediction model. |
地址 |
Beijing CN |