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Abstract #2199

Cardiac self-gating signals for free-running imaging: more than just triggers?

Lorenzo Di Sopra1, Jérôme Yerly1,2, Christopher W. Roy1, Juerg Schwitter3, and Matthias Stuber1,2
1Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 3Division of Cardiology and Cardiac MR Center, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

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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