Individual variation in simulated fetal SAR assessed in multiple body models
Name
nihms-1049220.pdf
Description
Accepted version
Size
1.48 MB
Format
Adobe PDF
Checksum (MD5)
e4e806bb6fd4569a7adb45ceae7c5feb
Author(s)
Abaci Turk, Esra
Yetisir, Filiz
Adalsteinsson, Elfar
Gagoski, Borjan
Guerin, Bastien
Grant, P. Ellen
Wald, Lawrence
Date Issued
October 2019
Journal
Magnetic Resonance in Medicine
Publisher
Wiley
Citation
Abaci Turk, Esra et al. "Individual variation in simulated fetal SAR assessed in multiple body models." Magnetic Resonance in Medicine 83, 4 (October 2019): 1418-1428 © 2019 International Society for Magnetic Resonance in Medicine
Version
Author's final manuscript
Abstract
Purpose: We generate 12 models from 4 pregnant individuals to evaluate individual differences in local specific absorption rate (SAR) for differing body habitus and fetal and maternal positions. Methods: Structural MR images from 4 pregnant subjects (including supine and left-lateral maternal positions) were manually segmented to create 12 body models by rotating the fetus, modifying the fat content, and altering the maternal arm position in 1 of the subjects. Electromagnetic simulations modeled at 3 Tesla determined the average and peak local SAR in the maternal trunk, fetus, fetal brain, and amniotic fluid. Results: We observed a significant range of fetal and maternal peak local SAR across the models (maternal trunk: 19.14-44.03 watts/kg, fetus: 9.93-18.79 watts/kg, fetal brain 3.36-10.3 watts/kg). We found that maternal body habitus changes introduced a significant variation in the maternal peak local SAR but not the fetal local SAR. However, the maternal position (either rotating the mother to left–lateral position or altering the arm position) introduced changes in fetal peak local SAR (range: 11.9-17.9 watts/kg). Rotating the fetus also introduced variation in the fetal and fetal brain peak local SAR. Conclusion: The observed variation in SAR emphasizes the need for more anatomical models to enable better safety management of individuals during fetal MRI, including a wider range of gestational ages.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1002/mrm.28006
