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Cited by 388

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Magnet field profiling: Analysis and correcting coil design

Roméo, Françoise, Hoult, D. I.·1984·Magnetic Resonance in Medicine

Abstract

A full mathematical framework for the analysis and production of localized magnetic field profiles is presented. Of primary use in the production of highly homogeneous fields for nuclear magnetic resonance studies, the paper details the analysis of fields in terms of spherical harmonics, describes how field plotting in the appropriate manner may be used to obtain a direct measure of which harmonics are present, and shows how to combine basic “building blocks” to produce the various lower‐order zonal and tesseral harmonics. “Building blocks” described include coils, arcs, and sinusoids of current as well as rings and arcs of steel. The use of shaped magnets is also briefly mentioned. Attention is drawn to the presence, in high‐order designs, of possibly dominant lower orders of harmonics created by errors in fabrication. The goal of the paper is to present a design philosophy, backed by the appropriate mathematics, which is applicable to the variety of situations encountered in magnet design. Practical examples of correcting coils and “shims” are also given.

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Crossref · 10.1002/mrm.1910010107

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Metadata

Authors
Roméo, F., & Hoult, D. I.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
1984-03
Volume
1
Issue
1
Pages
44-65
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W1976452080
Cited by
388
References
5
FWCI
7.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Magnet field profiling: Analysis and correcting coil design. https://app.cochat.ai/papers/10.1002/mrm.1910010107
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Roméo, F., & Hoult, D. I. (1984). Magnet field profiling: Analysis and correcting coil design. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910010107

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.