Abstract #4067

Generation of a “virtual population” of deep brain stimulation patient models for MRI safety studies

Bastien Guerin^1,2, Mathias Davids^1,3, Darin Dougherty^2,4, Leonardo Angelone⁵, and Lawrence L. Wald^1,2

¹Radiology, Massachusetts General Hospital, Charlestown, MA, United States, ²Harvard Medical School, Boston, MA, United States, ³Computer Assisted Clinical Medicine, Heidelberg University, Heidelberg, Germany, ⁴Psychiatry, Massachusetts General Hospital, Charlestown, MA, United States, ⁵DBP/OSEL/CDRH, US Food and Drug Administration, Silver Spring, MD, United States

We develop and disseminate a “virtual population” of five deep brain stimulation (DBS) patient models. The models are high-quality, watertight, topologically correct, non-intersecting surface meshes that can be used in conjunction with Finite Element Method (FEM) tools such as Ansys HFSS and CST. They are realistic descriptions of actual DBS patients anatomy (internal air, bone and “average tissue”) as well as the entire DBS path including the Implantable Pulse Generator (IPG) and extension cables. We hope the models can be useful for assessment of inter-subject variability of RF-safety metrics such as SAR and temperature.

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