PURPOSE: To present a modeling workflow for the evaluation of a lead electromagnetic model (LEM) consisting of a transfer function (TF) and a calibration factor. The LEM represents an analytical relationship between the RF response of a lead and the incident electromagnetic field. The study also highlights the importance of including key geometric details of the lead and the electrode when modeling multi-electrode leads. METHODS: The electrical and thermal responses of multi-electrode leads with helical and straight wires were investigated using 3D electromagnetic (EM) and thermal co-simulations. The net dissipated power (P) around each lead electrode and the net temperature increase at the electrodes (ÎT) were obtained for a set of incident EM fields with different spatial distributions. A reciprocity approach was used to determine a TF for each electrode based on the results of the computational model. The evaluation of the calibration factors and the TF validation were performed using the linear regression of P versus the LEM predictions. RESULTS: P and ÎT were investigated for four multi-electrode leads and four single-electrode leads containing either helical or straight wires. All electrodes of the multi-electrode lead were found to be points of high power deposition and temperature rise. The LEMs for the individual electrodes varied substantially. A significant dependence of the calibration factors on the surrounding tissue medium was also found. Finally, the model showed that the TF, the calibration factor, P and ÎT for multi-electrode leads differ significantly from those for single-electrode leads. CONCLUSION: These results highlight the need to evaluate a LEM for each electrode of a multi-electrode lead as well as for each possible surrounding medium. It is also shown that the results derived from simulations based on simplified single-electrode leads can significantly mislead multi-electrode lead analyses.
Modeling radiofrequency responses of realistic multi-electrode leads containing helical and straight wires.
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作者:Kozlov Mikhail, Horner Marc, Kainz Wolfgang
| 期刊: | Magnetic Resonance Materials in Physics Biology and Medicine | 影响因子: | 2.500 |
| 时间: | 2020 | 起止号: | 2020 Jun;33(3):421-437 |
| doi: | 10.1007/s10334-019-00793-9 | ||
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