Magnetic Resonance Fingerprinting (MRF) estimates multi-parametric maps from a large amount of highly undersampled time-point images. MRF has been shown to be robust to the presence of abrupt motion occurring towards the end of the acquisition. In this work we further study the effects of different types of motion on MRF, showing high sensitivity to periodic motion and motion occurring at the beginning of the MRF scan. A method for 2D translational motion correction in MRF is proposed and validated in vivo, showing significant improvements when compared with no motion correction.
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