基于影像数据融合的阿尔兹海默病智能诊断关键技术研究  

Research on key technology for intelligent diagnosis of Alzheimer̓s disease based on image data fusion

作　　者：刘倩兰[1] LIU Qianan(Hunan University of Science and Engineering,Yongzhou,Hunan 425199,China)

机构地区：[1]湖南科技学院,湖南永州425199

出　　处：《计算机应用文摘》2024年第18期199-201,共3页

基　　金：湖南省教育厅科学研究项目(22C0540);永州市指导性科技计划项目(2024)。

摘　　要：阿尔茨海默症(AD)俗称“老年痴呆”,是一种在老年人中较为常见的原发性、退行性脑疾病,主要特征是神经元功能逐渐萎缩甚至丧失,会对个人与社会造成较大负面影响。在从正常衰老逐渐过渡到阿尔茨海默症的过程中,老年人存在一种中间状态,即轻度认知障碍(MCI)。文章针对阿尔茨海默病人、MCI病人以及正常人的跨模态脑影像数据进行了研究,旨在探讨人工智能背景下的阿尔兹海默病诊断方法,从而为该疾病的诊断提供客观有力的科学依据。Alzheimer̓s disease(AD),commonly known as“senile dementia”,is a common primary and degenerative brain disease among the elderly.Its main feature is the gradual atrophy or even loss of neuronal function,which can have significant negative impacts on individuals and society.During the transition from normal aging to Alzheimer̓s disease,elderly people have an intermediate state known as mild cognitive impairment(MCI).The article studied cross modal brain imaging data of Alzheimer̓s disease patients,MCI patients,and normal individuals,aiming to explore the diagnostic methods of Alzheimer̓s disease under the background of artificial intelligence,and provide objective and powerful scientific basis for the diagnosis of the disease.

关 键 词：影像 数据融合 阿尔兹海默病 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]