Independent Component Analysis based Artifact Reduction Method for ECG in MR

Julien Oster (1, 2) , Olivier Pietquin (2) , Michel Kraemer (3) , Jacques Felblinger (1)

1 IADI - Imagerie Adaptative Diagnostique et Interventionnelle
2 SUPELEC-Campus Metz
3 Schiller Médical SA

Acquisition of an Electrocardiogram (ECG) during MRI is challenging. Applications of magnetic field gradients induces artifacts on ECG signals, so that patient monitoring or sequence triggering remain complicated. Signal processing is required to accurately detect QRS. To overcome this issue, specific QRS detector based on vectocardiogram were designed [1] or artifact suppression methods were proposed [2, 3, 4] using information of the gradient signals as input. Here we propose a new method for artifact reduction applying Independent Component Analysis (ICA) [5] avoiding the connection to the gradient cabinet.

Julien Oster, Olivier Pietquin, Michel Kraemer, Jacques Felblinger. Independent Component Analysis based Artifact Reduction Method for ECG in MR. ESMRMB 08, Oct 2008, Valencia, Spain. pp.CD-ROM Proceedings. ⟨hal-00351416⟩