A database of electrocardiogram signals acquired in different magnetic resonance imaging scanners

Magnetic resonance imaging (MRI) is an imaging technique widely used in medical diagnostics as well as in minimally invasive, image guided interventions. During an MRI scan, the patient's electrocardiogram (ECG) can be required for either gating or patient monitoring purposes. However, the hostile environment of an MRI scanner with its various types of magnetic fields (strong static magnetic field, switch gradient magnetic fields in the Hz or kHz range as well as high frequency magnetic fields in the MHz range) causes serve distortions of the acquired ECG signals. These distortions or artifacts hamper the QRS detection and a more detailed ECG-based diagnosis. To study these effects of the MRI environment, we created a database consisting of ECG signals acquired in various MRI scanners. This database was published on Physionet in order to encourage other researchers to enhance the quality of ECG signals during MRI exams.

[1]  Gari D Clifford,et al.  Acquisition of electrocardiogram signals during magnetic resonance imaging , 2017, Physiological measurement.

[2]  J M Rubin,et al.  Doppler US gating of cardiac MR imaging. , 2000, Academic radiology.

[3]  Thoralf Niendorf,et al.  Acoustic cardiac triggering: a practical solution for synchronization and gating of cardiovascular magnetic resonance at 7 Tesla , 2010, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[4]  Matthias Gutberlet,et al.  Feasibility of real-time magnetic resonance imaging-guided electrophysiology studies in humans. , 2013, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[5]  D. Firmin,et al.  Motion in cardiovascular MR imaging. , 2009, Radiology.

[6]  Matthias Gutberlet,et al.  Cavotricuspid isthmus ablation guided by real-time magnetic resonance imaging. , 2013, Circulation. Arrhythmia and electrophysiology.

[7]  Pierre-André Vuissoz,et al.  Adaptive black blood fast spin echo for end‐systolic rest cardiac imaging , 2010, Magnetic resonance in medicine.

[8]  R. Kreis,et al.  Restoration of electrophysiological signals distorted by inductive effects of magnetic field gradients during MR sequences , 1999, Magnetic resonance in medicine.

[9]  J. Oster,et al.  Improved ECG based gating in ultra high field cardiac MRI using an independent component analysis approach , 2013, Journal of Cardiovascular Magnetic Resonance.

[10]  David A. Bluemke,et al.  Cardiac magnetic resonance imaging and its electrocardiographs (ECG): tips and tricks , 2012, The International Journal of Cardiovascular Imaging.

[11]  Andrew C Larson,et al.  Comparison of self‐gated cine MRI retrospective cardiac synchronization algorithms , 2008, Journal of magnetic resonance imaging : JMRI.