Julien Oster1,2, Olivier Pietquin1,3,
Michel Kraemer4, Jacques Felblinger1,2
1U947, Inserm, Vandoeuvre-les-Nancy,
France; 2IADI, Nancy-Universit, Nancy, France; 3IMS
Research Group, Supelec Metz Campus, Metz, France; 4Schiller
Mdical, Wissembourg, France
Cardiac
MR Acquisitions have to be synchronized with heart activity to prevent from
motion artifacts. Electrocardiogram (ECG) is therefore the most accurate
tool. Magnetic Field Gradients (MFG) artifacts are unfortunately induced on
ECG signals. In this paper a new real-time MFG artifact reduction method is
presented. This technique is based on the merging of both ECG and MFG
artifact models. An estimation of the model parameters is recursively updated
by nonlinear Bayesian filtering. The MFG signals can then be filtered with
the MFG artifact model parameters in real-time. The herein presented method
outperforms state-of-the-art algorithms and enables accurate triggering.