The image quality of MRI exams is often poor in patients that cannot lay still or are unable to follow instructions. MR Fingerprinting is a novel technique with a greatly reduced sensitivity to patient motion and a short scan time. However, its images can still have artifacts when the degree of head movement is substantial. Here, we evaluate a novel motion correction scheme for MRF. Five subjects were instructed to intentionally move their head. In post-processing an iterative motion-correction algorithm was used on the anti-aliased image frames. When using our algorithm, we observed clearer images in all subjects, indicating that our technique can further increase the motion robustness of MRF.
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