Prospective and retrospective high order eddy current mitigation for diffusion weighted echo planar imaging.
Magn Reson Med
; 70(5): 1293-305, 2013 Nov.
Article
em En
| MEDLINE
| ID: mdl-23325564
ABSTRACT
PURPOSE:
The proposed method is aimed at reducing eddy current (EC) induced distortion in diffusion weighted echo planar imaging, without the need to perform further image coregistration between diffusion weighted and T2 images. These ECs typically have significant high order spatial components that cannot be compensated by preemphasis. THEORY ANDMETHODS:
High order ECs are first calibrated at the system level in a protocol independent fashion. The resulting amplitudes and time constants of high order ECs can then be used to calculate imaging protocol specific corrections. A combined prospective and retrospective approach is proposed to apply correction during data acquisition and image reconstruction.RESULTS:
Various phantom, brain, body, and whole body diffusion weighted images with and without the proposed method are acquired. Significantly reduced image distortion and misregistration are consistently seen in images with the proposed method compared with images without.CONCLUSION:
The proposed method is a powerful (e.g., effective at 48 cm field of view and 30 cm slice coverage) and flexible (e.g., compatible with other image enhancements and arbitrary scan plane) technique to correct high order ECs induced distortion and misregistration for various diffusion weighted echo planar imaging applications, without the need for further image post processing, protocol dependent prescan, or sacrifice in signal-to-noise ratio.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Encéfalo
/
Interpretação de Imagem Assistida por Computador
/
Aumento da Imagem
/
Artefatos
/
Imagem Ecoplanar
/
Imagem de Difusão por Ressonância Magnética
/
Imagem Corporal Total
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
Limite:
Humans
Idioma:
En
Revista:
Magn Reson Med
Assunto da revista:
DIAGNOSTICO POR IMAGEM
Ano de publicação:
2013
Tipo de documento:
Article
País de afiliação:
Estados Unidos