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Abstract #2670

Hybrid Motion Correction: Prospective Thresholding and Retrospective Residual Correction

Stefan Glimberg1, Malte Laustsen1, Jakob Slipsager1, Robert Frost2, Melanie Ganz3, André van der Kouwe2, and Thomas Gaass1
1TracInnovations, Ballerup, Denmark, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark

Synopsis

Keywords: Motion Correction, Motion Correction, hybrid motion correction

Motivation: Prospective Motion Correction (PMC) demands real-time tracking and may introduce artifacts due to imperfect tracking due to noise.

Goal(s): To introduce hybridMC, harnessing the strengths of thresholded PMC combined with retrospective motion correction to address motion artifacts comprehensively in neurological MRI.

Approach: Apply a PMC update threshold to avoid incorrect motion correction due to noisy motion tracking. Correct for residual motion artifacts using model-based RMC.

Results: The hybrid motion correction approach showed superior results when compared to PMC in the presence of noisy tracking, while maintaining good performance for non-noisy tracking.

Impact: To enhance neurological MRI quality, we introduce a hybrid motion correction. This innovation effectively mitigates tracking noise and residual artifacts, offering superior results compared to PMC alone. It promises improved diagnostic accuracy.

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Keywords