In this work an electromagnetic compatibility (EMC) analysis is performed by means of a dedicated finite element simulation of magnetic resonance imaging (MRI) environment to determine the impact of hosting in the scenery different materials and structures necessitated in guided interventions. The results obtained by simulation could be used for the design and optimization of devices used in such environment (actuator, mechatronics…).
TsekosN.V., KhanichehA., ChristoforouE. and MavroidisC., Magnetic Resonance-Compatible Robotic and Mechatronics Systems for Image-Guided Interventions and Rehabilitation: A Review Study, Annu. Rev. Biomed. Eng.9 (2007), 351-387.
2.
McRobbieD.W., Occupational exposure in MRI, The British Journal of Radiology85 (2012), 239-312.
3.
DingP., BernardL., PichonL. and RazekA., Evaluation of Electromagnetic Fields in Human Body Exposed to Wireless Inductive Charging System, IEEE Transactions on Magnetics50(2) (1 February 2014), 7025704.
4.
McRobbieD.W., MooreE.A., GravesM.J. and PrinceM.R., MRI From Picture to Proton, Second edition, CAMBRIDGE UNIVERSITY PRESS, 2006.
5.
GurlerN. and IderY.Z., FEM based design and simulation tool for MRI birdcage coils including Eigen frequency analysis, Conf proceedings Multiphysics Simulation and its Applications, Milan, 2012.
6.
DavidsonD.B., Computational electromagnetics for RF and microwave engineering, Cambridge University Press, 2011.
7.
YuverevS.V. and IdaN., Surface Impedance Boundary Conditions. A comprehensive approach, CRC Press, 2010.
8.
ChinzeiK., KikinisR. and JoleszF.A., MR compatibility of mechatronic devices: design criteria, MICCAI1679 (1999), 1020-1030.
9.
BernardY., ChristenJ.-L., HernandezC. and RazekA., From piezoelectric actuator to piezomotor, PIERS7(5) (2011).
IbrahimM., BernardL., PichonL. and RazekA., Electromagnetic model of EV wireless charging systems in view of energy transfer and radiated field control, International Journal of Applied Electromagnetics and Mechanics46 (2014), 355-360, doi: 10.3233/JAE-141945.
12.
PeiC., ZhuH., DemachiK., SekinoM. and UesakaM., Magnetic field gradient imaging for material classification by magnetic resonance imaging, International Journal of Applied Electromagnetics and Mechanics39 (2012), 335-340.
