Abstract #0012

Patient specific modeling of deep brain stimulation patients for MRI safety studies

Bastien Guerin^1,2, Peter Serano^3,4, Maria I Iacono³, Todd Herrington^2,5, Alik Widge^2,6, Darin Dougherty^2,6, Giorgio Bonmassar^1,2, Leonardo M Angelone³, and Lawrence Wald^1,2

¹Radiology, Massachusetts General Hospital, Charlestown, MA, United States, ²Harvard Medical School, Boston, MA, United States, ³Division of Biomedical Physics, OSEL, CDRH, US Food and Drug Administration, Silver Spring, MD, United States, ⁴Mechanical Engineering, University of Maryland, College Park, MD, United States, ⁵Neurology, Massachusetts General Hospital, MA, United States, ⁶Psychiatry, Massachusetts General Hospital, MA, United States

We propose a semi-automatic processing pipeline for the generation of realistic radiofrequency models of deep brain stimulation (DBS) patients. The whole process takes ~72 hours for model generation and field computation and models the exact DBS path, without intersections, the internal structure of the implant and the patient’s anatomical structures (e.g., brain, bones, muscles, lungs). We show that simplification of the DBS implant model results in high (up to 75%) differences in the estimation of energy absorption. The proposed framework allows for fast and precise modeling, which may be needed, pending experimental validation, to evaluate MRI RF-induced heating.

This abstract and the presentation materials are available to members only; a login is required.

Join Here