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Abstract #0871

Improving motion robustness of 3D MR Fingerprinting using fat navigator

Yong Chen1, Xiaopeng Zong2, Dan Ma1, Weili Lin2, and Mark Griswold1
1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

In this study, we developed a 3D MRF method in combination with fat navigator to improve its motion sensitivity for neuroimaging. A rapid fat navigator sampling was achieved at 3T by using the stack-of-spirals acquisition and non-Cartesian spiral GRAPPA. The improvement in motion robustness was achieved without increasing the scan time for quantitative tissue mapping. Our preliminary results demonstrate that 1) the added fat navigator sampling does not influence the accuracy of T1 and T2 quantification, and 2) the motion robustness for quantitative tissue mapping using MRF was largely improved with the proposed method.

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