MR fingerprinting for rapid quantification of myocardial T1 , T2 , and proton spin density.
Magn Reson Med
; 77(4): 1446-1458, 2017 04.
Article
em En
| MEDLINE
| ID: mdl-27038043
ABSTRACT
PURPOSE:
To introduce a two-dimensional MR fingerprinting (MRF) technique for quantification of T1 , T2 , and M0 in myocardium.METHODS:
An electrocardiograph-triggered MRF method is introduced for mapping myocardial T1 , T2 , and M0 during a single breath-hold in as short as four heartbeats. The pulse sequence uses variable flip angles, repetition times, inversion recovery times, and T2 preparation dephasing times. A dictionary of possible signal evolutions is simulated for each scan that incorporates the subject's unique variations in heart rate. Aspects of the sequence design were explored in simulations, and the accuracy and precision of cardiac MRF were assessed in a phantom study. In vivo imaging was performed at 3 Tesla in 11 volunteers to generate native parametric maps.RESULTS:
T1 and T2 measurements from the proposed cardiac MRF sequence correlated well with standard spin echo measurements in the phantom study (R2 > 0.99). A Bland-Altman analysis revealed good agreement for myocardial T1 measurements between MRF and MOLLI (bias 1 ms, 95% limits of agreement -72 to 72 ms) and T2 measurements between MRF and T2 -prepared balanced steady-state free precession (bias, -2.6 ms; 95% limits of agreement, -8.5 to 3.3 ms).CONCLUSION:
MRF can provide quantitative single slice T1 , T2 , and M0 maps in the heart within a single breath-hold. Magn Reson Med 771446-1458, 2017. © 2016 International Society for Magnetic Resonance in Medicine.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
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Reconhecimento Automatizado de Padrão
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Imageamento por Ressonância Magnética
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Interpretação de Imagem Assistida por Computador
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Técnicas de Imagem Cardíaca
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Coração
Tipo de estudo:
Diagnostic_studies
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Evaluation_studies
Limite:
Humans
Idioma:
En
Revista:
Magn Reson Med
Assunto da revista:
DIAGNOSTICO POR IMAGEM
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Estados Unidos