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RF Exposure Assessment for Various Poses of Patient Assistant in Open MRI Environment
- Source :
- Applied Sciences, Vol 11, Iss 4967, p 4967 (2021), Applied Sciences, Volume 11, Issue 11
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- In this study, the radio-frequency (RF) energy exposure of patient assistants was assessed for an open magnetic resonance imaging (MRI) system based on numerical computations of the head and body RF coil. Various poses of the patient assistants were defined to see how poorly they affected the RF energy exposure. For the assessments, the peak spatial-averaged specific absorption rate (SAR) levels were carefully compared with each patient assistant pose based on the finite-difference time domain calculations of RF coil models when the patient was placed in such coils in a 0.3 Tesla open MRI system. Overall, the SAR levels of the patient assistant were much lower than those of the patient. However, significantly increased SAR levels were observed under specific conditions, including a larger loop size of the patient assistants’ arms and a closer distance to the RF coils. A comparably high level of SAR to the patient’s body was also found. More careful investigations are needed to prevent the increase of SAR in patient assistants for open MRI systems at higher field strengths.
- Subjects :
- safety
medicine.medical_specialty
Technology
Rf exposure
QH301-705.5
QC1-999
patient assistant exposure
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
medicine
General Materials Science
Biology (General)
Instrumentation
QD1-999
Fluid Flow and Transfer Processes
dosimetry
business.industry
Process Chemistry and Technology
RF coil model
Physics
General Engineering
open MRI system
Engineering (General). Civil engineering (General)
Computer Science Applications
Chemistry
Open mri
Radiology
TA1-2040
business
030217 neurology & neurosurgery
SAR
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 11
- Issue :
- 4967
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....0faae612e18138e10b67f2267a1d0248