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

Volumetric estimates were comparable across FreeSurfer segmentation algorithms in our cohort; however, cortical thickness estimates were impacted contributing to discrepant classification of atrophy. SynthSeg segmentations were robust to scan quality (not shown) and recovered susceptible regions (e.g., temporal pole). Deep learning-based segmentation algorithms (e.g., SynthSeg) require less processing time and may ultimately reduce the need to discard poor quality scans or perform manual segmentation.