Grégory Petitmangin

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We describe a new real-time filter to reduce artefacts on electrocardiogram (ECG) due to magnetic field gradients during MRI. The proposed filter is a least mean square (LMS) filter able to continuously adapt its step size according to the gradient signal of the ongoing MRI acquisition. We implemented this filter and compared it, within two databases (at(More)
During cardiac MRI, fast switching gradients cause artifacts on the electrocardiogram (ECG), disturbing both triggering and patient monitoring. To cancel this noise, the Least Mean Squares (LMS) algorithm is a simple and efficient method. LMS uses one main parameter, its step size, which influences the quality of artifact reduction. We propose a method(More)
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