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Cited by 272

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

SAR and B1 field distributions in a heterogeneous human head model within a birdcage coil

Collins, Christopher M., Li, Shizhe, Smith, Michael B.·1998·Magnetic Resonance in Medicine

Abstract

Calculations of radiofrequency magnetic (B 1) field and specific energy absorption rate (SAR) distributions in a sphere of tissue and a multi‐tissue human head model in a 12‐element birdcage coil are presented. The coil model is driven in linear and quadrature modes at 63, 175, 200, and 300 MHz. Plots of B, field magnitude and SAR distributions, average SAR, maximum local SAR, and measures of B 1 field homogeneity and signal‐to‐noise ratio are given. SAR levels for arbitrary pulse sequences can be estimated from the calculated data. Maximum local SAR levels are lower at lower frequencies, in quadrature rather than in linear coils, and in linear fields oriented posterior‐to‐anterior rather than left‐to‐right in the head. It should be possible to perform many experiments in the head at frequencies up to 300 MHz without exceeding standard limits for local or average SAR levels.

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Metadata

Authors
Collins, C. M., Li, S., & Smith, M. B.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
1998-12
Volume
40
Issue
6
Pages
847-856
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W2008958501
Cited by
272
References
10
FWCI
7.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: SAR and B1 field distributions in a heterogeneous human head model within a birdcage coil. https://app.cochat.ai/papers/10.1002/mrm.1910400610
The paper
Collins, C. M., Li, S., & Smith, M. B. (1998). SAR and B1 field distributions in a heterogeneous human head model within a birdcage coil. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910400610

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.