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Abstract #1438

Prospective Motion Correction of Functional MRI Using Markerless Tracking

Jesus Diaz Pereira1, Jakob Slipsager1, Malte Laustsen1, Robert Frost2,3, Patrick Fisher4, and Thomas Gaass1
1Tracinnovations, Ballerup, Denmark, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark

Synopsis

Keywords: fMRI Acquisition, Motion Correction

Motivation: Head motion during fMRI causes significant artifacts, disrupting activation patterns, particularly in clinical settings where realistic, challenging motion is common. Existing methods inadequately address within-volume motion, impacting clinical usability.

Goal(s): This study evaluates the effectiveness of prospective motion correction (PMC) in real-time compensation of head motion artifacts in fMRI, enhancing reliability under clinical conditions.

Approach: We assessed PMC-enabled fMRI scans in three volunteers performing controlled head motion, comparing activation and tSNR maps across PMC-on and PMC-off conditions.

Results: PMC improved tSNR and restored motor cortex activation disrupted by motion, recovering some activation in the primary expected areas, suggesting PMC’s potential for clinical application.

Impact: While PMC shows potential for improving fMRI reliability in clinical settings, enhancing brain mapping despite patient motion, these findings should be approached cautiously. Further research into real-time motion tracking integration is essential, especially for patients with limited motion control.

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