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Abstract #4597

Comparison of K-Space Based Parallel Imaging Approaches for Reducing Non-Rigid Motion Induced Ghosting

Suchandrima Banerjee1, Philip J. Beatty2, Ajit Shankaranarayanan1

1Global Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States; 2Global Applied Science Laboratory, GE Healthcare, Toronto, Canada

Non-rigid motion such as coughing, swallowing or flow can cause ghosting artifacts that severely compromise image quality, especially in anatomies such as the spine. Self -navigated trajectories such as radial and PROPELLER can minimize these artifacts, but majority of imaging applications rely on Cartesian imaging. In recent years, there has been lot of work on extending parallel imaging (PI) methods to eliminate motion ghosts. In this work we analyze the differences between two previously proposed PI based motion correction methods through simulation and invivo spine studies, and present some method modifications to improve the motion correction ability.