Broadband electrocardiogram acquisition for improved suppression of MRI gradient artifacts. (1st May 2020)

• Record Type: Journal Article
• Authors: Dos Reis, Jesús E; Odille, Freddy; Petitmangin, Gregory; Guillou, André; Vuissoz, Pierre-André; Felblinger, Jacques; Oster, Julien
• Is Part Of: Physiological measurement. Volume 41:Number 4(2020)
• Publication Date: 2020-05-01
• Subjects: electrocardiogram (ECG) -- cardiac MRI -- patient monitoring -- gradient artefact suppression; Physiology -- Measurement -- Periodicals; Patient monitoring -- Periodicals; 612
• DOI: 10.1088/1361-6579/ab7b8e
• Languages: English
• ISSNs: 0967-3334

Abstract

Abstract: 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.