We demonstrate a novel motion correction of 3D magnetic resonance fingerprinting (MRF) using spiral projection k-space trajectory. The motion was corrected using rigid motion parameters extracted from a whole-brain navigator obtained every 7s of imaging. Firstly, we optimized the trajectory ordering in simulation and selected the acquisition scheme that allowed the best navigator for motion correction. Secondly, we applied this scheme to invivo data in healthy subjects scanned first without motion and then while performing a motion paradigm. Our motion correction improved the correlation of motion-corrupted data with motionless data by over 20% for both T1 and T2.
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