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Abstract #4100

Motion robust Magnetic Resonance Fingerprinting using Echo-Planar Imaging and intensity based motion correction

Mario Wenning1, Benedikt Rieger1, Lothar R. Schad1, and Sebastian Weingärtner1,2,3

1Computer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Heidelberg, Germany, 2Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

Quantitative magnetic resonance imaging (MRI) enables the quantification of biomarkers and the detection of tissue changes. Recently, various magnetic resonance fingerprinting (MRF) sequences were proposed to enable simultaneous quantification of T1 and T2/T2*relaxation times. In this study, we demonstrate motion sensitivity of the original MRF and MRF-EPI. Intensity-based image registration is used in six healthy subjects to eliminate motion artifacts in MRF-EPI. The effectiveness is demonstrated by a significant improvement in the Dice coefficient. As the algorithm is independent of patient and slice, it facilitates motion robust acquisition of parameters maps with MRF ready for clinical use.

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