Literature DB >> 17440238

Electric fields induced in the human body by time-varying magnetic field gradients in MRI: numerical calculations and correlation analysis.

Martin Bencsik1, Richard Bowtell, Roger Bowley.   

Abstract

The spatial distributions of the electric fields induced in the human body by switched magnetic field gradients in MRI have been calculated numerically using the commercial software package, MAFIA, and the three-dimensional, HUGO body model that comprises 31 different tissue types. The variation of |J|, |E| and |B| resulting from exposure of the body model to magnetic fields generated by typical whole-body x-, y- and z-gradient coils has been analysed for three different body positions (head-, heart- and hips-centred). The magnetic field varied at 1 kHz, so as to produce a rate of change of gradient of 100 T m(-1) s(-1) at the centre of each coil. A highly heterogeneous pattern of induced electric field and current density was found to result from the smoothly varying magnetic field in all cases, with the largest induced electric fields resulting from application of the y-gradient, in agreement with previous studies. By applying simple statistical analysis to electromagnetic quantities within axial planes of the body model, it is shown that the induced electric field is strongly correlated to the local value of resistivity, and the induced current density exhibits even stronger correlation with the local conductivity. The local values of the switched magnetic field are however shown to bear little relation to the local values of the induced electric field or current density.

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Year:  2007        PMID: 17440238     DOI: 10.1088/0031-9155/52/9/001

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  10 in total

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4.  Magnetic Resonance Imaging with Composite (Dual) Gradients.

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Journal:  Concepts Magn Reson Part B Magn Reson Eng       Date:  2009-04-01       Impact factor: 1.176

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6.  Voltage-based device tracking in a 1.5 Tesla MRI during imaging: initial validation in swine models.

Authors:  Ehud J Schmidt; Zion T H Tse; Tobias R Reichlin; Gregory F Michaud; Ronald D Watkins; Kim Butts-Pauly; Raymond Y Kwong; William Stevenson; Jeffrey Schweitzer; Israel Byrd; Charles L Dumoulin
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Review 7.  Magnetic resonance safety.

Authors:  Steffen Sammet
Journal:  Abdom Radiol (NY)       Date:  2016-03

8.  Electric field calculation and peripheral nerve stimulation prediction for head and body gradient coils.

Authors:  Peter B Roemer; Trevor Wade; Andrew Alejski; Charles A McKenzie; Brian K Rutt
Journal:  Magn Reson Med       Date:  2021-06-03       Impact factor: 3.737

9.  Solenoidal Micromagnetic Stimulation Enables Activation of Axons With Specific Orientation.

Authors:  Laleh Golestanirad; John T Gale; Nauman F Manzoor; Hyun-Joo Park; Lyall Glait; Frederick Haer; James A Kaltenbach; Giorgio Bonmassar
Journal:  Front Physiol       Date:  2018-07-27       Impact factor: 4.566

10.  Predicting in vivo MRI Gradient-Field Induced Voltage Levels on Implanted Deep Brain Stimulation Systems Using Neural Networks.

Authors:  M Arcan Erturk; Eric Panken; Mark J Conroy; Jonathan Edmonson; Jeff Kramer; Jacob Chatterton; S Riki Banerjee
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  10 in total

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