东南大学学报（自然科学版）2016，Vol.46Issue(6)：1137-1142,6.DOI:10.3969/j.issn.1001-0505.2016.06.005
基于可分性距离判据和脑MR图像的AD症脑部年龄检测
Detection of brain age of Alzheimer's disease based on separability distance criterion and MR image
摘要
Abstract
There is a deviation between brain age and actual age corresponding to different states of Alzheimer's disease(AD).In order to accurately predict the deviation to obtain brain age,a new method of brain age detection is proposed based on the existing magnetic resonance (MR)image age detection methods.First,the deviation search range is set.Secondly,a fitness function is designed based on the distance separability criterion,and the brain age of samples is estimated via deviation and support vector regression(SVR)and the fitness value is calculated.Thirdly,the optimal devia-tion is obtained by maximizing the fitness value,so that obtaining brain ages more conducive to the classification of AD.Finally,the proposed method is compared with the existing age detection meth-od.For three kinds of classification which are normal control group (NC)and AD,NC and mild cognitive impairment (MCI)as well as MCI and AD,based on the proposed algorithm,the separa-bility can be improved by 0.178,0.033,and 0.017,respectively.Therefore,the age detected with the proposed algorithm has better separability and helps to improve the classification accuracy of AD.关键词
脑部年龄检测/AD/分类/可分性距离判据/磁共振成像/支持向量回归机Key words
brain age detection/Alzheimer's disease(AD)/classification/separability distance cri-terion/magnetic resonance imaging(MRI)/support vector regression(SVR)分类
信息技术与安全科学引用本文复制引用
李勇明,李帆,朱雪茹,王品,刘书君,邱明国..基于可分性距离判据和脑MR图像的AD症脑部年龄检测[J].东南大学学报（自然科学版）,2016,46(6):1137-1142,6.基金项目
国家自然科学基金资助项目（61108086，91438104，11304382）、中央高校基本科研业务费专项资金资助项目（CDJZR155507， CDJZR12160011，CDJZR13160008）、中国博士后科学基金资助项目（2013M532153）、重庆市博士后科研项目特别资助项目、教育部留学回国人员基金资助项目． （）
