Cardiac self-gating (SG) approaches for free-running MR imaging of the heart have proven to be a robust alternative to ECG-gating. However, for both the ECG and SG signals, one feature is typically extracted (ECG: R-wave, SG: zero-crossing) and used for triggering, gating, or data binning. While this often works for constant heart rates, periods of quiescence cannot easily be predicted when heart rates change. Therefore, we have developed an algorithm that, without any prior knowledge, identifies periods of cardiac quiescence from SG signals, and demonstrated that resultant motion-suppressed image quality matches that from conventional approaches.
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