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Abstract #0012

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

Bastien Guerin1,2, Peter Serano3,4, Maria I Iacono3, Todd Herrington2,5, Alik Widge2,6, Darin Dougherty2,6, Giorgio Bonmassar1,2, Leonardo M Angelone3, and Lawrence Wald1,2

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.

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