Literature DB >> 14648565

Influence of magnetically-induced E-fields on cardiac electric activity during MRI: A modeling study.

Feng Liu1, Ling Xia, Stuart Crozier.   

Abstract

In modern magnetic resonance imaging (MRI), patients are exposed to strong, time-varying gradient magnetic fields that may be able to induce electric fields (E-fields)/currents in tissues approaching the level of physiological significance. In this work we present theoretical investigations into induced E-fields in the thorax, and evaluate their potential influence on cardiac electric activity under the assumption that the sites of maximum E-field correspond to the myocardial stimulation threshold (an abnormal circumstance). Whole-body cylindrical and planar gradient coils were included in the model. The calculations of the induced fields are based on an efficient, quasi-static, finite-difference scheme and an anatomically realistic, whole-body model. The potential for cardiac stimulation was evaluated using an electrical model of the heart. Twelve-lead electrocardiogram (ECG) signals were simulated and inspected for arrhythmias caused by the applied fields for both healthy and diseased hearts. The simulations show that the shape of the thorax and the conductive paths significantly influence induced E-fields. In healthy patients, these fields are not sufficient to elicit serious arrhythmias with the use of contemporary gradient sets. However, raising the strength and number of repeated switching episodes of gradients, as is certainly possible in local chest gradient sets, could expose patients to increased risk. For patients with cardiac disease, the risk factors are elevated. By the use of this model, the sensitivity of cardiac pathologies, such as abnormal conductive pathways, to the induced fields generated by an MRI sequence can be investigated. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 14648565     DOI: 10.1002/mrm.10639

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  2 in total

1.  Suppression of MR gradient artefacts on electrophysiological signals based on an adaptive real-time filter with LMS coefficient updates.

Authors:  R Abächerli; C Pasquier; F Odille; M Kraemer; J-J Schmid; J Felblinger
Journal:  MAGMA       Date:  2005-02-07       Impact factor: 2.310

2.  Investigating cardiac stimulation limits of MRI gradient coils using electromagnetic and electrophysiological simulations in human and canine body models.

Authors:  Valerie Klein; Mathias Davids; Lothar R Schad; Lawrence L Wald; Bastien Guérin
Journal:  Magn Reson Med       Date:  2020-08-19       Impact factor: 4.668

  2 in total

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