Amine M Samoudi1, Gunter Vermeeren2, Emmeric Tanghe2, Roel Van Holen3, Luc Martens2, Wout Josephs2. 1. Department of Information Technology (INTEC), Ghent University/iMinds, iGent, Ghent, Belgium. amine.samoudi@intec.ugent.be. 2. Department of Information Technology (INTEC), Ghent University/iMinds, iGent, Ghent, Belgium. 3. Electronics and Information Systems (ELIS), Ghent University/iMinds, Ghent, Belgium.
Abstract
PURPOSE: To determine exposure to gradient switching fields of adults and children in a magnetic resonance imaging (MRI) scanner by evaluating internal electric fields within realistic models of adult male, adult female, and child inside transverse and longitudinal gradient coils, and to compare these results with compliance guidelines. MATERIALS AND METHODS: Patients inside x-, y-, and z-gradient coils were simulated using anatomically realistic models of adult male, adult female, and child. The induced electric fields were computed for 1 kHz sinusoidal current with a magnitude of 1 A in the gradient coils. Rheobase electric fields were then calculated and compared to the International Commission on Non-Ionizing Radiation Protection (ICNIRP) 2004 and International Electrotechnical Commission (IEC) 2010 guidelines. The effect of the human body, coil type, and skin conductivity on the induced electric field was also investigated. RESULTS: The internal electric fields are within the first level controlled operating mode of the guidelines and range from 2.7V m-1 to 4.5V m-1 , except for the adult male inside the y-gradient coil (induced field reaches 5.4V m-1 ).The induced electric field is sensitive to the coil type (electric field in the skin of adult male: 4V m-1 , 4.6V m-1 , and 3.8V m-1 for x-, y-, and z-gradient coils, respectively), the human body model (electric field in the skin inside y-gradient coil: 4.6V m-1 , 4.2V m-1 , and 3V m-1 for adult male, adult female, and child, respectively), and the skin conductivity (electric field 2.35-4.29% higher for 0.1S m-1 skin conductivity compared to 0.2S m-1 ). CONCLUSION: The y-gradient coil induced the largest fields in the patients. The highest levels of internal electric fields occurred for the adult male model. J. Magn. Reson. Imaging 2016;44:1360-1367.
PURPOSE: To determine exposure to gradient switching fields of adults and children in a magnetic resonance imaging (MRI) scanner by evaluating internal electric fields within realistic models of adult male, adult female, and child inside transverse and longitudinal gradient coils, and to compare these results with compliance guidelines. MATERIALS AND METHODS:Patients inside x-, y-, and z-gradient coils were simulated using anatomically realistic models of adult male, adult female, and child. The induced electric fields were computed for 1 kHz sinusoidal current with a magnitude of 1 A in the gradient coils. Rheobase electric fields were then calculated and compared to the International Commission on Non-Ionizing Radiation Protection (ICNIRP) 2004 and International Electrotechnical Commission (IEC) 2010 guidelines. The effect of the human body, coil type, and skin conductivity on the induced electric field was also investigated. RESULTS: The internal electric fields are within the first level controlled operating mode of the guidelines and range from 2.7V m-1 to 4.5V m-1 , except for the adult male inside the y-gradient coil (induced field reaches 5.4V m-1 ).The induced electric field is sensitive to the coil type (electric field in the skin of adult male: 4V m-1 , 4.6V m-1 , and 3.8V m-1 for x-, y-, and z-gradient coils, respectively), the human body model (electric field in the skin inside y-gradient coil: 4.6V m-1 , 4.2V m-1 , and 3V m-1 for adult male, adult female, and child, respectively), and the skin conductivity (electric field 2.35-4.29% higher for 0.1S m-1 skin conductivity compared to 0.2S m-1 ). CONCLUSION: The y-gradient coil induced the largest fields in the patients. The highest levels of internal electric fields occurred for the adult male model. J. Magn. Reson. Imaging 2016;44:1360-1367.
Authors: Amine M Samoudi; Stefan Kampusch; Emmeric Tanghe; Jozsef C Széles; Luc Martens; Eugenijus Kaniusas; Wout Joseph Journal: Med Biol Eng Comput Date: 2017-02-13 Impact factor: 2.602