Conventional 2D cardiac cine imaging relies on ECG-gating whereas self-gated approaches mitigate ECG-dependency by assuming that cardiac motion is periodic with well-defined frequencies. This assumption breaks down when patients have irregular cardiac rhythm. We propose a segmented Cartesian golden step balanced steady-state free precession sequence (bSSFP) with motion navigators and a clustering algorithm to alleviate the dependency on regular motion assumptions and to emphasize the intrinsic similarity of mechanical motion. Compared to standard ECG-gated 2D bSSFP cine performed in normal sinus rhythm, initial validation using our approach achieved similar image quality and quantitative metrics for cardiac function.
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