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Broadband electrocardiogram acquisition for improved suppression of MRI gradient artifacts

Authors :
Pierre-André Vuissoz
André Guillou
Freddy Odille
Jacques Felblinger
Jesús E Dos Reis
Julien Oster
Gregory Petitmangin
Imagerie Adaptative Diagnostique et Interventionnelle (IADI)
Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Centre d'Investigation Clinique - Innovation Technologique [Nancy] (CIC-IT)
Centre d'investigation clinique [Nancy] (CIC)
Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)
Schiller Médical SAS
Source :
Physiological Measurement, Physiological Measurement, IOP Publishing, 2020, 41 (4), pp.045004. ⟨10.1088/1361-6579/ab7b8e⟩
Publication Year :
2020
Publisher :
IOP Publishing, 2020.

Abstract

International audience; Objective: Despite being routinely acquired during MRI examinations for triggering or monitoring purposes, electrocardiogram (ECG) signal recording and analysis remain challenging due to the inherent magnetic environment of an MRI scanner. The ECG signals are particularly distorted by the induction of electrical fields in the body by the MRI gradients. In this study, we propose a new hardware and software solution for the acquisition of ECG signal during MRI up to 3 T.Approach: Instead of restricting the sensor bandwidth to limit these gradient artifacts, the new sensor architecture has a higher bandwidth, higher sampling frequency and larger input dynamics, in order to acquire the ECG signals and the gradient artifacts more precisely. Signal processing based on a novel detection algorithm and blanking are then applied for improved artifact suppression.Main results: The proposed sensor allows the gradient artifacts to be acquired more precisely, and these artifacts are recorded with peak-to-peak amplitudes two orders of magnitude larger than for QRS complexes. The proposed method outperforms a state-of-the-art approach both in terms of signal quality (+9% 'SNR') and accuracy of QRS detection (+11%).Significance: The proposed hardware and software solutions open the way for the acquisition of high-quality of ECG gating in MRI, and improved diagnostic quality of ECG signals in MRI.

Details

ISSN :
13616579 and 09673334
Volume :
41
Database :
OpenAIRE
Journal :
Physiological Measurement
Accession number :
edsair.doi.dedup.....cf212bde16f93427c1ef14409e9184fb
Full Text :
https://doi.org/10.1088/1361-6579/ab7b8e