Keywords: Heart, Image ReconstructionSeveral cardiac and respiratory motion-resolved free-running acquisition techniques have recently been developed, but automated self-gated motion extraction with principal component analysis (PCA) alone remains challenging and sometimes fails to correctly identify the components related to cardiac motion. We combined three blind source separation algorithms (fastICA, ICASSO and SOBI) with PCA and compared them with gold-standard ECG R-wave triggers in 10 healthy volunteers to determine the most precise and robust self-gated cardiac trigger extraction. Of these tested techniques, PCA combined with SOBI resulted in the lowest variability of the cardiac intervals relative to ECG intervals (p=0.03) and the sharpest images (p=0.03).
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