Segmented 3D fat navigators for faster brain motion tracking at 7T
Frédéric Gretsch1 and Daniel Gallichan2
1LIFMET, EPFL, Lausanne, Switzerland, 2CUBRIC, School of Engineering, Cardiff University, United Kingdom
Fat Navigators have previously demonstrated their utility for high-accuracy motion tracking. We investigate a segmented 3D version of the navigators which allows significant acquisition time reduction while maintaining high motion accuracy.
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