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 Weingärtner^1,2,3

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 T₁and 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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