Preliminary comparison of FreeSurfer segmentation algorithms in the Wake Forest community‐based cohort and potential impact on ATN classification

Abstract

Background: Acquisition and participant‐related artifacts (atrophy, motion) can degrade the quality of acquired images resulting in poor segmentation of tissue compartments. This can bias estimates of brain volume and thickness used quantify age and disease‐related atrophy, a problem particularly salient in clinical populations.