Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images.

ABSTRACT: Structural magnetic resonance imaging (MRI) has been proven to be an effective tool for Alzheimer's disease (AD) diagnosis. While conventional MRI-based AD diagnosis typically uses images acquired at a single time point, a longitudinal study is more sensitive in detecting early pathological changes of AD, making it more favorable for accurate diagnosis. In general, there are two challenges faced in MRI-based diagnosis. First, extracting features from structural MR images requires time-consuming nonlinear registration and tissue segmentation, whereas the longitudinal study with involvement of more scans further exacerbates the computational costs. Moreover, the inconsistent longitudinal scans (i.e., different scanning time points and also the total number of scans) hinder extraction of unif

SUBMITTER: Zhang J 

PROVIDER: S-EPMC5685894 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature