Abstract #4162

The effect of tissue detail in pregnant body models on local SAR prediction accuracy at 3 T

Filiz Yetisir¹, Esra Abaci Turk¹, P Ellen Grant^1,2, Lawrence L Wald^2,3,4, and Elfar Adalsteinsson^4,5,6

¹Fetal-Neonatal Neuroimaging Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, ²Department of Radiology, Harvard Medical School, Boston, MA, United States, ³Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, ⁴Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, ⁵Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, ⁶Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States

Generating fully detailed electromagnetic body models requires acquisition and segmentation of high-resolution MR images which is particularly difficult in pregnancy due to motion and intolerance of long scan times. However, to explore fetal and maternal RF safety at 3 Tesla with both the standard mode and parallel RF transmission, a variety of pregnant body models are needed. We assess the effects of using simplified versions of 6 pregnant body models on predicting the maternal and fetal peak local SAR. We find that the simplified models under/over-estimate the peak local SAR of fully detailed models by at most 23%/16%.

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

Join Here