Change Point Estimation of the Hippocampal Volumes in Alzheimer's Disease

被引:0
作者
Tang, Xiaoying [1 ]
Albert, Marilyn [2 ,3 ]
Miller, Michael I. [2 ,3 ]
Younes, Laurent [2 ,3 ]
机构
[1] Sun Yat Sen Univ, CMU Joint Inst Engn, Guangzhou, Guangdong, Peoples R China
[2] Johns Hopkins Univ, Dept Neurol, Baltimore, MD USA
[3] Johns Hopkins Univ, Ctr Imaging Sci, Baltimore, MD USA
来源
2016 13TH CONFERENCE ON COMPUTER AND ROBOT VISION (CRV) | 2016年
基金
美国国家卫生研究院; 美国国家科学基金会; 中国国家自然科学基金;
关键词
change point; maximum likelihood estimation; linear mixed-effects; Alzheimer's disease; hippocampus; MILD COGNITIVE IMPAIRMENT; DIFFEOMORPHOMETRY; AMYGDALA; ATROPHY;
D O I
10.1109/CRV.2016.13
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Volumetric changes in the hippocampus have been shown to precede clinical symptom onset during the preclinical phase of Alzheimer's disease (AD). In this paper, we propose a novel statistical method for estimating the change point of the hippocampus, as extracted from structural magnetic resonance imaging scans, in relation to clinical symptom onset. We used a linear mixed-effect statistical model. Maximum likelihood estimation was employed as the strategy that was applied in two phases.
引用
收藏
页码:358 / 361
页数:4
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