Abstract #2312

Computational simulations of heating in the vicinity of an 8-contact depth EEG electrode: the impact of model simplification

Hassan B Hawsawi^1,2, Ozlem Ipek^3,4, David W Carmichael^5,6, and Louis Lemieux¹

¹Clinical and Experimental Epilepsy, University College London, London, United Kingdom, ²Administration of Medical Physics, King Abdullah Medical City, Makkah, Saudi Arabia, ³King’s College London, London, United Kingdom, ⁴CIBM-AIT, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland, ⁵Department of Biomedical Engineering, King’s College London, London, United Kingdom, ⁶Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom

Electromagnetic (EM) simulations offer the possibility of assessing RF-induced heating around intracranial EEG (icEEG) electrodes across a variety of placement scenarios in a shorter time than experimental phantom-based temperature measurements. However, given the sub-millimetric dimensions of the wires and contacts the range of spatial scales spans many orders of magnitude, leading to high computational demands. In this study, we assessed the effect of model simplification for a typical 8-contact depth EEG electrode on the estimated heating patterns.

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