Evaluating effect of calibration factor for lead computational model to assess 
MRI RF-Induced heating

Kozlov, Mikhail; Kainz, W.

doi:10.1109/APUSNCURSINRSM.2018.8609200

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Evaluating effect of calibration factor for lead computational model to assess MRI RF-Induced heating

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Kozlov, Mikhail
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Kozlov, M., & Kainz, W. (2019). Evaluating effect of calibration factor for lead computational model to assess MRI RF-Induced heating. In 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting (pp. 891-892). doi:10.1109/APUSNCURSINRSM.2018.8609200.

Cite as: https://hdl.handle.net/21.11116/0000-0002-C990-8

Abstract

In this case study the calibration factor of the lead electromagnetic model (LEM) was evaluated for different helix and straight lead geometries and insulator electrical properties at 128 MHz. Our results indicate that the LEM is suitable to predict the RF-induced power deposition at the lead tip if the calibration factor is measured, or simulated, for exactly the given lead, without making any simplification.