Identify the Atrophy of Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging Using Morphometric MRI Analysis

Xiangyu Ma, Zhaoxia Li, Bin Jing, Han Liu, Dan Li, Haiyun Li
2016 Frontiers in Aging Neuroscience  
Ma et al. MRI Atrophy Computing for AD the discrimination accuracy between AD and NC, MCI and NC, AD and MCI was 92.7, 91.7, and 78.4%, respectively. For three-way prediction, the accuracy was 74.6%. Furthermore, the proposed two indicators could also identify the atrophy rate differences among the three groups in longitudinal analysis. The proposed method could serve as an automatic and time-sparing approach for early diagnosis and tracking the progression of AD.
doi:10.3389/fnagi.2016.00243 pmid:27803665 pmcid:PMC5067377 fatcat:7g3wz4sqozgtrimkdcfkdfwcny