Brain Age Detection of Alzheimer’s Disease Magnetic Resonance Images Based on Mutual Information—Support Vector Regression  

作　　者：LIU Yuchuan LI Hao TANG Yulong LIANG Dujuan TAN Jia FU Yue LI Yongming 刘玉川;李浩;唐宇龙;梁杜娟;谭佳;符玥;李勇明(School of Intelligent Technology and Engineering,Chongqing University of Science and Technology,Chongqing,401331,China;Communication Sergeant School,Army Engineering University,Chongqing,400035,China;CISDI Information Technology(Chongqing)Co.,Ltd.,Chongqing,401329,China;School of Microelectronics and Communication Engineering,Chongqing University,Chongqing,400044,China)

机构地区：[1]School of Intelligent Technology and Engineering,Chongqing University of Science and Technology,Chongqing,401331,China [2]Communication Sergeant School,Army Engineering University,Chongqing,400035,China [3]CISDI Information Technology(Chongqing)Co.,Ltd.,Chongqing,401329,China [4]School of Microelectronics and Communication Engineering,Chongqing University,Chongqing,400044,China

出　　处：《Journal of Shanghai Jiaotong university(Science)》2025年第1期130-135,共6页上海交通大学学报(英文版)

基　　金：the Natural Science Foundation of Chongqing(No.cstb2022nscq-msx1575);the Science and Technology Research Program of Chongqing Municipal Education Commission(Nos.KJQN202201512,KJQN202001523 and KJZD-M202101501);the Chongqing University of Science and Technology Research Funding Projects(Nos.CKRC2022019 and CKRC2019042);the Open Foundation of the Chongqing Key Laboratory for Oil and Gas Production Safety and Risk Control(No.cqsrc202113)。

摘　　要：Brain age is an effective biomarker for diagnosing Alzheimer’s disease(AD).Aimed at the issue that the existing brain age detection methods are inconsistent with the biological hypothesis that AD is the accelerated aging of the brain,a mutual information—support vector regression(MI-SVR)brain age prediction model is proposed.First,the age deviation is introduced according to the biological hypothesis of AD.Second,fitness function is designed based on mutual information criterion.Third,support vector regression and fitness function are used to obtain the predicted brain age and fitness value of the subjects,respectively.The optimal age deviation is obtained by maximizing the fitness value.Finally,the proposed method is compared with some existing brain age detection methods.Experimental results show that the brain age obtained by the proposed method has better separability,can better reflect the accelerated aging of AD,and is more helpful for improving the diagnostic accuracy of AD.

关 键 词：brain age Alzheimer’s disease(AD) mutual information-support vector regression(MI-SVR) age deviation 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] R318[自动化与计算机技术—计算机科学与技术]