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Cited by 276

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Development of the female voxel phantom, NAOMI, and its application to calculations of induced current densities and electric fields from applied low frequency magnetic and electric fields

Dimbylow, Peter·2005·Physics in Medicine and Biology

Abstract

This paper outlines the development of a 2 mm resolution voxel model, NAOMI (aNAtOMIcal model), designed to be representative of the average adult female. The primary medical imaging data were derived from a high-resolution MRI scan of a 1.65 m tall, 23 year old female subject with a mass of 58 kg. The model was rescaled to a height of 1.63 m and a mass of 60 kg, the dimensions of the International Commission on Radiological Protection reference adult female. There are 41 tissue types in the model. The application of NAOMI to the calculations of induced current densities and electric fields from applied low frequency magnetic and electric fields is described. Comparisons are made with values from the male voxel model, NORMAN. The calculations were extended from 50 Hz up to 10 MHz. External field reference levels are compared with the ICNIRP guidelines.

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Metadata

Authors
Dimbylow, P.
Venue
Physics in Medicine and Biology
Published
2005-02-24
Volume
50
Issue
6
Pages
1047-1070
ISSN
  • 0031-9155 (ISSN-L)
  • 1361-6560
OpenAlex
W1994943748
Cited by
276
References
19
FWCI
8.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development of the female voxel phantom, NAOMI, and its application to calculations of induced current densities and electric fields from applied low frequency magnetic and electric fields. https://app.cochat.ai/papers/10.1088/0031-9155/50/6/002
The paper
Dimbylow, P. (2005). Development of the female voxel phantom, NAOMI, and its application to calculations of induced current densities and electric fields from applied low frequency magnetic and electric fields. Physics in Medicine and Biology. https://doi.org/10.1088/0031-9155/50/6/002

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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.