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Abstract #0008

Improving Rigid Head Motion Correction Using Parallel Imaging

Bammer R, Liu C, Aksoy M
Stanford University

A novel method to determine and correct for rigid in-plane body motion is introduced. The method utilizes parallel imaging to correct for missing k-space data that result from the initial motion correction. The utility of the new method has been first verified in simulation studies and was then tested in healthy volunteers that were asked to move their head at three intensity levels (no, mild, and moderate motion) during data acquisition. A significant reduction of motion artifacts was observed. The new correction scheme is a promising tool for multi-shot DTI, PWI or fMRI studies to monitor and correct for motion.