Suchandrima Banerjee1, Ajit Shankaranarayanan1
1Global Applied Science Lab, GE Healthcare, Menlo Park, CA, United States
Motion remains a major source of artifact in day-today MR scans. In recent years there has been several works on utilization of additional information from multiple coils to reduce motion artifacts. Most of these methods use parallel imaging reconstruction algorithms to detect and resynthesize motion-corrupted acquisition segments. In this work we take a different approach and propose to detect individual coil data those are most affected by the motion. Our reconstruction strategy is based on the assumption that coil sensitivities being spatially varying, motion artifacts will appear differently relative to mean signal in the various coil images.