Total liver fat quantification using three-dimensional respiratory self-navigated MRI sequence.
Magn Reson Med
; 76(5): 1400-1409, 2016 11.
Article
em En
| MEDLINE
| ID: mdl-26588040
ABSTRACT
PURPOSE:
MRI can produce quantitative liver fat fraction (FF) maps noninvasively, which can help to improve diagnoses of fatty liver diseases. However, most sequences acquire several two-dimensional (2D) slices during one or more breath-holds, which may be difficult for patients with limited breath-holding capacity. A whole-liver 3D FF map could also be obtained in a single acquisition by applying a reliable breathing-motion correction method. Several correction techniques are available for 3D imaging, but they use external devices, interrupt acquisition, or jeopardize the spatial resolution. To overcome these issues, a proof-of-concept study introducing a self-navigated 3D three-point Dixon sequence is presented here.METHODS:
A respiratory self-gating strategy acquiring a center k-space profile was integrated into a three-point Dixon sequence. We obtained 3D FF maps from a water-fat emulsions phantom and fifteen volunteers. This sequence was compared with multi-2D breath-hold and 3D free-breathing approaches.RESULTS:
Our 3D three-point Dixon self-navigated sequence could correct for respiratory-motion artifacts and provided more precise FF measurements than breath-hold multi-2D and 3D free-breathing techniques.CONCLUSION:
Our 3D respiratory self-gating fat quantification sequence could correct for respiratory motion artifacts and yield more-precise FF measurements. Magn Reson Med 761400-1409, 2016. © 2015 International Society for Magnetic Resonance in Medicine.Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Processamento de Sinais Assistido por Computador
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Imageamento por Ressonância Magnética
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Interpretação de Imagem Assistida por Computador
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Tecido Adiposo
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Adiposidade
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Técnicas de Imagem de Sincronização Respiratória
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Fígado
Tipo de estudo:
Diagnostic_studies
Limite:
Adult
/
Humans
Idioma:
En
Revista:
Magn Reson Med
Assunto da revista:
DIAGNOSTICO POR IMAGEM
Ano de publicação:
2016
Tipo de documento:
Article
País de afiliação:
Chile