Bayesian framework for artifact reduction on ECG IN MRI

Oster, Julien; Pietquin, Olivier; Kraemer, Michel; Felblinger, Jacques

doi:10.1109/icassp.2010.5495684

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…Thus, many techniques have been developed to reduce the effects of these signals. For example, gradient artifacts can be reduced with algorithms based on adaptive filter techniques [33], Bayesian filters [34], and independent component analysis [35]. For a more thorough evaluation of the improvement in QRS detection provided by the presented method to reduce V MHD , the ECG recordings may need to be preprocessed to reduce the effects of gradient artifacts.…”

Section: Discussionmentioning

confidence: 99%

ECG Electrode Placements for Magnetohydrodynamic Voltage Suppression

2018

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This study aims to investigate a set of electrocardiogram (ECG) electrode lead locations to improve the quality of four-lead ECG signals acquired during magnetic resonance imaging (MRI). This was achieved by identifying electrode placements that minimized the amount of induced magnetohydrodynamic voltages (V MHD ) in the ECG signals. Reducing V MHD can improve the accuracy of QRS complex detection in ECG as well as heartbeat synchronization between MRI and ECG during the acquisition of cardiac cine. A vector model based on thoracic geometry was developed to predict induced V MHD and to optimize four-lead ECG electrode placement for the purposes of improved MRI gating. Four human subjects were recruited for vector model establishment (Group 1), and five human subjects were recruited for validation of V MHD reduction in the proposed four-lead ECG (Group 2). The vector model was established using 12-lead ECG data recorded from Group 1 of four healthy subjects at 3 Tesla, and a gradient descent optimization routine was utilized to predict optimal four-lead ECG placement based on V MHD vector alignment. The optimized four-lead ECG was then validated in Group 2 of five healthy subjects by comparing the standard and proposed lead placements. A 43.41% reduction in V MHD was observed in ECGs using the proposed electrode placement, and the QRS complex was preserved. A V MHD -minimized electrode placement for four-lead ECG gating was presented and shown to reduce induced magnetohydrodynamic (MHD) signals, potentially allowing for improved cardiac MRI physiological monitoring.

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Section: Discussionmentioning

confidence: 99%

ECG Electrode Placements for Magnetohydrodynamic Voltage Suppression

2018

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Filtering of ECG signals distorted by magnetic field gradients during MRI using non-linear filters and higher-order statistics

Schmidt

Krug

Rosenheimer³

et al. 2017

Biomedical Engineering / Biomedizinische Technik

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The electrocardiogram (ECG) is the state-of-the-art signal for patient monitoring and gating in cardiovascular magnetic resonance (CMR) imaging applications. However, ECG signals are severely distorted during MRI scans due to the effects of static magnetic fields, radio frequency pulses and fast-switching gradient magnetic fields. Gradient-induced artifacts that cause high frequency peaks in the ECG signal especially hamper a correct and reliable QRS detection. To cope with this problem, a new median-based real-time gradient filter (M1) approach was developed. To improve the filter results, a preprocessing step based on higher-order statistics (M2) was added to this. For the evaluation of the filtering techniques, ECG signals were acquired in a 3T MRI scanner during different MR sequences. A qualitative comparison was made using the mean square error as well as the signal power before and after filtering and the results of the QRS detection. Here, reliable results were achieved (detection error rate [DER] M1: 0.23%, DER M2: 0.74%). It was shown that the two developed techniques allowed a reliable suppression of the gradient artifacts in real time.

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Reducing of gradient induced artifacts on the ECG signal during MRI examinations using Wilcoxon filter

Schmidt

Krug

Rose

2016

Current Directions in Biomedical Engineering

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The electrocardiogramm (ECG) is the state-of-the-art signal for gating in cardiovascular magnetic resonance imaging and patient monitoring. Using the ECG for gating and monitoring during the magnetic resonance imaging examination is a high challenging task due to the superimposition of the magnetohydrodynamic effect, radio-frequency (RF) pulses and fast switching gradient magnetic fields. The gradient induced artifacts hamper the correct QRS detection which is needed for correct gating and heart rate calculation and ECG displaying for patient monitoring. To suppress the gradient artifacts from the ECG signal acquired during MRI, a technique based on the Wilcoxon filter was developed. It was evaluated using ECG signals of 14 different subjects acquired in a 3 T MRI scanner. It could be shown reliable results for reducing gradient induced artifacts in the ECG signal in real-time.

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Bayesian framework for artifact reduction on ECG IN MRI

Cited by 4 publications

References 11 publications

ECG Electrode Placements for Magnetohydrodynamic Voltage Suppression

ECG Electrode Placements for Magnetohydrodynamic Voltage Suppression

Filtering of ECG signals distorted by magnetic field gradients during MRI using non-linear filters and higher-order statistics

Reducing of gradient induced artifacts on the ECG signal during MRI examinations using Wilcoxon filter

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