MRI-based thalamic volumetry in multiple sclerosis using FSL-FIRST: Systematic assessment of common error modes.

Cassondra LymanDongchan LeeHannah FerrariTom A FuchsNiels P Bergsland Dejan JakimovskiBianca Weinstock-GuttmannRobert Zivadinov Michael G Dwyer

Published in: Journal of neuroimaging : official journal of the American Society of Neuroimaging (2021)

In PwMS, FSL-FIRST thalamic segmentation miscalculates thalamic volumetry in a predictable fashion, and may be biased to overestimate highly atrophic thalami. As such, it is recommended that segmentations be reviewed and corrected manually when appropriate for specific studies.

Keyphrases

deep brain stimulation
multiple sclerosis
magnetic resonance imaging
deep learning
contrast enhanced
computed tomography
diffusion weighted imaging
machine learning