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Abstract #0485

Improved Cardiac Motion Self-Gating

Fei Han1, Stanislas Rapacchi1, Peng Hu2

1Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, United States; 2Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States

A new cardiac self-gating method in which the self-gating signal is derived from repeatedly acquired non-phase-encoded k-space centerline instead of the center k-space point used in conventional self-gating method. Principle Component Analysis is used for processing the acquired self-gating signal and triggers are generated by detecting peaks on the processed signal. Experiment results shows that the motion signal provided by the proposed method is free of the distortion and artifact usually seen in conventional self-gating method and the detected triggers are with high reliability and accuracy when using ECG as reference.