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Abstract #4603

Motion Artifact Removal by Retrospective Resolution Reduction (MARs)

Candice Bookwalter1, Nicole Seiberlich1, Mark Griswold1,2, Vikas Gulani1

1Department of Radiology, University Hospitals Case Medical Center, Cleveland, OH, United States; 2Department of Biomedical Engineering, Case Western Reserve Univeristy, Cleveland, OH, United States

Motion artifacts in MR images often obscure important clinical information especially due to breathing in abdominal imaging. Assuming that a patient can hold their breath at the beginning of an acquisition but may later fail, there will be a transition between data uncorrupted and corrupted by motion. In this study, the transition is identified by employing a centric ordered 3D VIBE acquisition and a novel, automatic, retrospective algorithm called Motion Artifact Removal by Retrospective Resolution Reduction (MARs). Volunteer and patient data is presented demonstrating images uncorrupted by motion artifact but with slightly lower resolution than initially desired.