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Abstract #1315

Application of retrospective motion correction to magnetic resonance fingerprinting

Mauro Costagli1, Michela Tosetti2,3, Graziella Donatelli4, and Guido Buonicontri2

1IMAGO7 Research Institute, Pisa, Italy, 2IMAGO7 Research Institute, 3IRCCS Stella Maris, Pisa Italy, 4Università di Pisa, Italy

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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