Abstract #1375

Motion Artifact Removal by Retrospective Resolution Reduction (MARs): Combination with GRAPPA Acceleration and Clinical Assessment of Image Quality

Candice A. Bookwalter¹, Michael W. Harrell², Nicole Seiberlich³, Smitha Thomas¹, Raj Mohan Paspulati⁴, Jeremiah A. Heilman⁵, Mark A. Griswold¹,³, Vikas Gulani¹,³

¹Department of Radiology, University Hospitals Case Medical Center/Case Western Reserve University, Cleveland, OH, United States; ²School of Medicine, Case Western Reserve University, Cleveland, OH, United States; ³Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; ⁴Department of Radiology, University Hospitals Case Medical Center/Case Western Reserve University, Cleveland , OH, United States; ⁵Quality Electrodynamics, Mayfield Village, OH, United States

The automatic and retrospective method of Motion Artifact Removal by Retrospective Resolution Reduction (MARs) is evaluated in conjunction with parallel imaging time acceleration in both simulation and patient data. MARs uses GRAPPA navigators to detect motion corrupted data and subsequently removes corrupted data to obtain a motion artifact free yet lower resolution image. The MARs method is shown to work robustly with parallel imaging time acceleration. Image evaluation was performed using alternate force choice ratings. MARs corrected images were shown to be preferred over uncorrected images.