Exposure of Infants to Gradient Fields in a Baby MRI Scanner.


Journal

Bioelectromagnetics
ISSN: 1521-186X
Titre abrégé: Bioelectromagnetics
Pays: United States
ID NLM: 8008281

Informations de publication

Date de publication:
Feb 2022
Historique:
revised: 14 12 2021
received: 14 02 2021
accepted: 24 12 2021
pubmed: 11 1 2022
medline: 28 1 2022
entrez: 10 1 2022
Statut: ppublish

Résumé

In pediatric magnetic resonance imaging (MRI), infants are exposed to rapid, time-varying gradient magnetic fields, leading to electric fields induced in the body of infants and potential safety risks (e.g. peripheral nerve stimulation). In this numerical study, the in situ electric fields in infants induced by small-sized gradient coils for a 1.5 T MRI scanner were evaluated. The gradient coil set was specially designed for the efficient imaging of infants within a small-bore (baby) scanner. The magnetic flux density and induced electric fields by the small x, y, z gradient coils in an infant model (8-week-old with a mass of 4.3 kg) were computed using the scalar potential finite differences method. The gradient coils were driven by a 1 kHz sinusoidal waveform and also a trapezoidal waveform with a 250 µs rise time. The model was placed at different scan positions, including the head area (position I), chest area (position II), and body center (position III). It was found that the induced electric fields in most tissues exceeded the basic restrictions of the ICNIRP 2010 guidelines for both waveforms. The electric fields were similar in the region of interest for all coil types and model positions but different outside the imaging region. The y-coil induced larger electric fields compared with the x- and z- coils. Bioelectromagnetics. 43:69-80, 2022. © 2021 Bioelectromagnetics Society.

Identifiants

pubmed: 35005795
doi: 10.1002/bem.22387
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

69-80

Informations de copyright

© 2021 Bioelectromagnetics Society.

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Auteurs

Fangfang Tang (F)

School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Australia.

Luca Giaccone (L)

Department of Energy, Politecnico di Torino, Torino, Italy.

Jiahao Hao (J)

College of Optoelectronic Engineering, Chongqing University, China.

Fabio Freschi (F)

School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Australia.
Department of Energy, Politecnico di Torino, Torino, Italy.

Tongning Wu (T)

China Academy of Information and Communications Technology, Beijing, China.

Stuart Crozier (S)

School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Australia.

Feng Liu (F)

School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Australia.

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