Statistical Evaluation of Radiofrequency Exposure during Magnetic Resonant Imaging: Application of Whole-Body Individual Human Model and Body Motion in the Coil

Wenli Liu, Hongkai Wang, Pu Zhang, Chengwei Li, Jie Sun, Zhaofeng Chen, Shengkui Xing, Ping Liang and Tongning Wu
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Wenli Liu: Division of Medical and Biological Measurement, National Institute of Metrology, Beijing 100029, China
Hongkai Wang: School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
Pu Zhang: Division of Medical and Biological Measurement, National Institute of Metrology, Beijing 100029, China
Chengwei Li: Division of Medical and Biological Measurement, National Institute of Metrology, Beijing 100029, China
Jie Sun: Division of Medical and Biological Measurement, National Institute of Metrology, Beijing 100029, China
Zhaofeng Chen: School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
Shengkui Xing: China Academy of Information and Communications Technology, Beijing 100191, China
Ping Liang: XGY Medical Equipment Co. Ltd., Ningbo 315400, China
Tongning Wu: China Academy of Information and Communications Technology, Beijing 100191, China

IJERPH, 2019, vol. 16, issue 6, 1-16

Abstract: The accurate estimation of patient’s exposure to the radiofrequency (RF) electromagnetic field of magnetic resonance imaging (MRI) significantly depends on a precise individual anatomical model. In the study, we investigated the applicability of an efficient whole-body individual modelling method for the assessment of MRI RF exposure. The individual modelling method included a deformable human model and tissue simplification techniques. Besides its remarkable efficiency, this approach utilized only a low specific absorption rate (SAR) sequence or even no MRI scan to generate the whole-body individual model. Therefore, it substantially reduced the risk of RF exposure. The dosimetric difference of the individual modelling method was evaluated using the manually segmented human models. In addition, stochastic dosimetry using a surrogate model by polynomial chaos presented SAR variability due to body misalignment and tilt in the coil, which were frequently occurred in the practical scan. In conclusion, the dosimetric equivalence of the individual models was validated by both deterministic and stochastic dosimetry. The proposed individual modelling method allowed the physicians to quantify the patient-specific SAR while the statistical results enabled them to comprehensively weigh over the exposure risk and get the benefit of imaging enhancement by using the high-intensity scanners or the high-SAR sequences.

Keywords: numerical simulation; transmit coil; deformable human model; stochastic dosimetry; specific absorption rate (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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