Rapid four-ring birdcage coil analysis: Design optimization for high efficiency, low interference, and improved body loading tolerance.

Body loading effect Boundary condition Coil coupling Coil efficiency Four-ring birdcage coil Meshing density Model geometry Quality factor

Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
02 2020
Historique:
received: 06 06 2019
revised: 21 11 2019
accepted: 21 11 2019
pubmed: 26 11 2019
medline: 25 9 2020
entrez: 26 11 2019
Statut: ppublish

Résumé

The Design accuracy of MRI system with dual-tuned four-ring birdcage coils remains challenging due to inter-coil interference that tends to deteriorate signal-to-noise ratio and thus image quality. In this study, we develop an accurate and efficient FEM modeling strategy by optimizing model geometries, meshing density, and boundary conditions in accord with the correlated measurements on test vehicles. By taking full advantages of simulation accuracy and efficiency, we are able to proceed with sensitivity analysis on critical RF characteristics such as resonance pattern, quality factor, coil coupling, and body loading effects, etc., which may further serve as guidelines for coil design optimization.

Identifiants

pubmed: 31765689
pii: S0730-725X(19)30343-1
doi: 10.1016/j.mri.2019.11.018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

30-35

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Kellsie Shan (K)

Department of Psychiatry, Columbia University, New York 10032, USA; The New York State Psychiatric Institute, New York 10032, USA. Electronic address: mathscishan@gmail.com.

Yunsuo Duan (Y)

Department of Psychiatry, Columbia University, New York 10032, USA; The New York State Psychiatric Institute, New York 10032, USA.

Articles similaires

Humans Ketamine Propofol Pulmonary Atelectasis Female
Humans Magnetic Resonance Imaging Phantoms, Imaging Infant, Newborn Signal-To-Noise Ratio
Humans Middle Aged Female Male Surveys and Questionnaires

Classifications MeSH