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Calculation of MRI‐induced heating of an implanted medical lead wire with an electric field transfer function
Author(s) -
Park SungMin,
Kamondetdacha Rungkiet,
Nyenhuis John A.
Publication year - 2007
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.21159
Subject(s) - electric field , materials science , electrode , imaging phantom , dielectric heating , lead (geology) , field (mathematics) , phase (matter) , transfer function , nuclear magnetic resonance , optics , optoelectronics , electrical engineering , physics , dielectric , mathematics , engineering , quantum mechanics , geomorphology , pure mathematics , geology
Purpose To develop and demonstrate a method to calculate the temperature rise that is induced by the radio frequency (RF) field in MRI at the electrode of an implanted medical lead. Materials and Methods The electric field near the electrode is calculated by integrating the product of the tangential electric field and a transfer function along the length of the lead. The transfer function is numerically calculated with the method of moments. Transfer functions were calculated at 64 MHz for different lengths of model implants in the form of bare wires and insulated wires with 1 cm of wire exposed at one or both ends. Results Heating at the electrode depends on the magnitude and the phase distribution of the transfer function and the incident electric field along the length of the lead. For a uniform electric field, the electrode heating is maximized for a lead length of approximately one‐half a wavelength when the lead is terminated open. The heating can be greater for a worst‐case phase distribution of the incident field. Conclusion The transfer function is proposed as an efficient method to calculate MRI‐induced heating at an electrode of a medical lead. Measured temperature rises of a model implant in a phantom were in good agreement with the rises predicted by the transfer function. The transfer function could be numerically or experimentally determined. J. Magn. Reson. Imaging 2007;26:1278–1285. © 2007 Wiley‐Liss, Inc.