Keywords: Arrhythmia, Image ReconstructionSignal processing of self-navigation in 3D late gadolinium enhancement (LGE) with XD-GRASP reconstruction often leads to variable results due to a variety of factors including arrhythmia (variations in inversion-recovery of self-navigated signal) and bright signals around the body that are projected onto the edge profile used for tracking respiratory motion. Principal component analysis (PCA) is the conventional approach to process navigation signal. We hypothesize that exploratory factor analysis (EFA) produces better extraction of respiratory motion. Our results show that EFA improves respiratory motion tracking in 3D LA LGE obtained b-SSFP readout, but not in gradient echo [GRE] readout.
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