Keywords: Safety, Safety
Motivation: To develop a reliable method to predict heating around deep brain stimulation implants as a safety assessment prior to scanning patients.
Goal(s): To investigate the accuracy of a heating prediction workflow in-vivo.
Approach: We surgically inserted a DBS electrode into swine brains and predicted the heating around DBS contacts, with and without perfusion. Our heating prediction workflow uses a new MR-based current measurement, proposed for this work, as well as quasi-static electromagnetic and thermal simulations to predict heating around the electrical contacts of DBS electrodes.
Results: The predicted temperature around electrical contacts agreed with the measurements (NRMSE ≤ 0.09).
Impact: Our workflow predicts heating around the electrical contacts in-vivo without complex modeling and simulations. The results demonstrate the reliability of the workflow to assess heating risk before scanning patients with DBS implants.
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