Abstract #1654

Slice-based motion metrics show stronger relationship than volume-based metrics to visual rating of motion artifact

Katherine A Koenig¹, Erik Beall¹, Sally Durgerian², Christine Reece³, Stephen M Rao³, and Mark J Lowe¹

¹Imaging Sciences, The Cleveland Clinic, Cleveland, OH, United States, ²BrainDataDriven LLC, Milwaukee, WI, United States, ³Schey Center for Cognitive Neuroimaging, The Cleveland Clinic, Cleveland, OH, United States

A motion metric that more closely represents the amount of artifact in the signal could decrease the amount of discarded data and reduce noise in resting state studies. This work compares a sample of 455 resting state scans visually rated for motion corruption to slice-based and volume-based motion metrics. We show that the slice-based metric shows a stronger relationship to visual assessment of motion corruption.

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