Analysis of human brain exposure to low‐frequency magnetic fields: A numerical assessment of spatially averaged electric fields and exposure limits. Issue 5 (12th February 2013)
- Record Type:
- Journal Article
- Title:
- Analysis of human brain exposure to low‐frequency magnetic fields: A numerical assessment of spatially averaged electric fields and exposure limits. Issue 5 (12th February 2013)
- Main Title:
- Analysis of human brain exposure to low‐frequency magnetic fields: A numerical assessment of spatially averaged electric fields and exposure limits
- Authors:
- Chen, Xi‐Lin
Benkler, Stefan
Chavannes, Nicholas
De Santis, Valerio
Bakker, Jurriaan
van Rhoon, Gerard
Mosig, Juan
Kuster, Niels - Abstract:
- <abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>Compliance with the established exposure limits for the electric field (<italic>E</italic>‐field) induced in the human brain due to low‐frequency magnetic field (<italic>B</italic>‐field) induction is demonstrated by numerical dosimetry. The objective of this study is to investigate the dependency of dosimetric compliance assessments on the applied methodology and segmentations. The dependency of the discretization uncertainty (i.e., staircasing and field singularity) on the spatially averaged peak <italic>E</italic>‐field values is first determined using canonical and anatomical models. Because spatial averaging with a grid size of 0.5 mm or smaller sufficiently reduces the impact of artifacts regardless of tissue size, it is a superior approach to other proposed methods such as the 99th percentile or smearing of conductivity contrast. Through a canonical model, it is demonstrated that under the same uniform <italic>B</italic>‐field exposure condition, the peak spatially averaged <italic>E</italic>‐fields in a heterogeneous model can be significantly underestimated by a homogeneous model. The frequency scaling technique is found to introduce substantial error if the relative change in tissue conductivity is significant in the investigated frequency range. Lastly, the peak induced <italic>E</italic>‐fields in the brain tissues of five high‐resolution anatomically realistic models exposed to a uniform<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>Compliance with the established exposure limits for the electric field (<italic>E</italic>‐field) induced in the human brain due to low‐frequency magnetic field (<italic>B</italic>‐field) induction is demonstrated by numerical dosimetry. The objective of this study is to investigate the dependency of dosimetric compliance assessments on the applied methodology and segmentations. The dependency of the discretization uncertainty (i.e., staircasing and field singularity) on the spatially averaged peak <italic>E</italic>‐field values is first determined using canonical and anatomical models. Because spatial averaging with a grid size of 0.5 mm or smaller sufficiently reduces the impact of artifacts regardless of tissue size, it is a superior approach to other proposed methods such as the 99th percentile or smearing of conductivity contrast. Through a canonical model, it is demonstrated that under the same uniform <italic>B</italic>‐field exposure condition, the peak spatially averaged <italic>E</italic>‐fields in a heterogeneous model can be significantly underestimated by a homogeneous model. The frequency scaling technique is found to introduce substantial error if the relative change in tissue conductivity is significant in the investigated frequency range. Lastly, the peak induced <italic>E</italic>‐fields in the brain tissues of five high‐resolution anatomically realistic models exposed to a uniform <italic>B</italic>‐field at ICNIRP and IEEE reference levels in the frequency range of 10 Hz to 100 kHz show that the reference levels are not always compliant with the basic restrictions. Based on the results of this study, a revision is recommended for the guidelines/standards to achieve technically sound exposure limits that can be applied without ambiguity. Bioelectromagnetics 34:375–384, 2013. © 2012 Wiley Periodicals, Inc.</p> </abstract> … (more)
- Is Part Of:
- Bioelectromagnetics. Volume 34:Issue 5(2013:Jul.)
- Journal:
- Bioelectromagnetics
- Issue:
- Volume 34:Issue 5(2013:Jul.)
- Issue Display:
- Volume 34, Issue 5 (2013)
- Year:
- 2013
- Volume:
- 34
- Issue:
- 5
- Issue Sort Value:
- 2013-0034-0005-0000
- Page Start:
- 375
- Page End:
- 384
- Publication Date:
- 2013-02-12
- Subjects:
- Electromagnetism -- Physiological effect -- Periodicals
571.47 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1521-186X ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/bem.21780 ↗
- Languages:
- English
- ISSNs:
- 0197-8462
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2072.009000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3025.xml