Use of pattern recognition for unaliasing simultaneously acquired slices in simultaneous multislice MR fingerprinting.
Magn Reson Med
; 78(5): 1870-1876, 2017 11.
Article
em En
| MEDLINE
| ID: mdl-28019022
ABSTRACT
PURPOSE:
The purpose of this study is to accelerate an MR fingerprinting (MRF) acquisition by using a simultaneous multislice method.METHODS:
A multiband radiofrequency (RF) pulse was designed to excite two slices with different flip angles and phases. The signals of two slices were driven to be as orthogonal as possible. The mixed and undersampled MRF signal was matched to two dictionaries to retrieve T1 and T2 maps of each slice. Quantitative results from the proposed method were validated with the gold-standard spin echo methods in a phantom. T1 and T2 maps of in vivo human brain from two simultaneously acquired slices were also compared to the results of fast imaging with steady-state precession based MRF method (MRF-FISP) with a single-band RF excitation.RESULTS:
The phantom results showed that the simultaneous multislice imaging MRF-FISP method quantified the relaxation properties accurately compared to the gold-standard spin echo methods. T1 and T2 values of in vivo brain from the proposed method also matched the results from the normal MRF-FISP acquisition.CONCLUSION:
T1 and T2 values can be quantified at a multiband acceleration factor of two using our proposed acquisition even in a single-channel receive coil. Further acceleration could be achieved by combining this method with parallel imaging or iterative reconstruction. Magn Reson Med 781870-1876, 2017. © 2016 International Society for Magnetic Resonance in Medicine.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
/
Reconhecimento Automatizado de Padrão
/
Imageamento por Ressonância Magnética
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