Abstract #4174

Individualized SAR Calculations Using Computer-Vision-Based MR Segmentation and a Fast Electromagnetic Solver

Eugene Milshteyn^1,2, Georgy Guryev³, Angel Torrado-Carvajal^1,2, Elfar Adalsteinsson^3,4,5, Jacob K. White³, Lawrence L. Wald^1,2,5, and Bastien Guerin^1,2

¹Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, ²Harvard Medical School, Boston, MA, United States, ³Dept of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, ⁴Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States, ⁵Harvard-MIT Division of Health Sciences Technology, Cambridge, MA, United States

Current local specific absorption rate (SAR) calculations with offline simulated body models yield conservative safety limits on parallel transmission protocols. By using a personalized medicine approach, whereby the patient-specific body model is generated as the patient lies on the table, more accurate safety limits can be employed. In this study, we developed a fast methodology to scan the patient, segment the body, and calculate the global and local SAR. Our results from multiple volunteer scans show a 30% variation in local SAR, indicating the need for a patient-specific approach.

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