@InProceedings{Supelec775,
author = {Julien Oster and Matthieu Geist and Olivier Pietquin and Gary Clifford},
title = {{Filtering of pathological ventricular rhythms during MRI scanning}},
year = {2012},
booktitle = {{Proceedings of the seventh International Workshop on Biosignal Interpretation}},
month = {July},
address = {Como (Italy)},
abstract = {The detection of pathological ventricular repolarization during
Magnetic Resonance Imaging (MRI) examination becomes necessary
with the development of MRI guided surgery or electrophysiology
and stress-test MRI. The Electrocardiogram (ECG) signal is
distorted by the MagnetoHydroDynamic (MHD) effect, arising from
blood flow and thus the motion of electrolytes inside a
magnetic field. This distortion makes ECG diagnosis impossible,
and thus the development of an accurate MHD suppression
is mandatory.
An extension of the ECG model based nonlinear Bayesian
filtering is proposed to deal specifically with the MHD
artefact by incorporating a model of the MHD based on Gaussian
waves. The assessment of an MHD suppression technique is
difficult due to the high level of noise and the lack of
information about the ventricular repolarization. The method
has thus been applied on an artificial signals, modelling an
acquisition of ECG during MRI examination. Two different cases
were modelled: one ECG signal with T wave inversion and an
ECG, which exhibited a prolonged QT interval. The results show
promising denoising of the ECG signal enabling detection of
pathological ventricular repolarization, but application of
this technique on real acquisitions are needed to assess the
filtering behaviour on real signals.}
}