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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