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Abstract #4175

RF-induced heating in the vicinity of human depth intracranial EEG electrodes: effect of electrode and implantation simplification on computational EM simulations

Hassan B Hawsawi1,2,3, Ozlem Ipek4,5, David W Carmichael6,7, and Louis Lemieux1,2

1Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, United Kingdom, 2Department of Clinical and Experimental Epilepsy, Epilepsy Society, Buckinghamshire, United Kingdom, 3Administration of Medical Physics, King Abdullah Medical City (KAMC), Makkah, Saudi Arabia, 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, 7Wellcome EPSRC Centre for Medical Engineering, King's College London, London, United Kingdom

Empirical assessments on phantoms are essential to assess the health risks associated with performing EEG recordings concurrently with fMRI in humans; however they are time consuming limiting our capability to adequately investigate the range of scenarios encountered in real-world applications. Electromagnetic (EM) computational simulations can help to address this limitation, if they can be performed efficiently enough. Here we assessed the improvements of computational efficiency obtained by simplifying the representation of brain-indwelling EEG electrodes for EM simulations. The observed differences in estimated SAR between the full and simplified models can be understood in terms of a simple heuristic model.

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