Combined estimation of B1and T1for dynamic contrast-enhanced MRI by accounting for incomplete spoiling of transverse magnetization.
Biomed Phys Eng Express
; 9(3)2023 03 28.
Article
en En
| MEDLINE
| ID: mdl-36896591
ABSTRACT
Objective.The variable flip angle (VFA) method for longitudinal relaxation time (T1) measurement is inherently sensitive to inaccuracies in the radiofRequency transmit field (B1) and incomplete spoiling of transverse magnetization. The objective of this study is to devise a computational method that addresses the problems of incomplete spoiling andB1inhomogeneity in the estimation ofT1using VFA method.Approach. Using an analytical expression of the gradient echo signal with account of incomplete spoiling, we first showed that ill-posedness in the simultaneous estimation ofB1andT1can be lifted with the use of flip angles larger than the Ernst angle. We then devised a nonlinear optimization method based on this signal model of incomplete spoiling for simultaneous estimation ofB1andT1.Main results. We evaluated the proposed method on a graded-concentration phantom to show that the derivedT1estimates offers an improvement over the regular VFA method and compares well with reference values measured by inversion recovery. Reduction of the number of flip angles from 17 to 5 yielded consistent results indicating that the proposed method is numerically stable.T1estimates derived from in-vivo brain imaging were consistent with literature values for gray and white matter tissues.Significance. Contrary to the common notion thatB1correction in the VFA method forT1mapping should be performed separately, we show that combined estimation ofB1andT1is feasible by the proposed method simply with the acquisition of 5 flip angles, as demonstrated on both phantom and in-vivo imaging data.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Imagen por Resonancia Magnética
/
Sustancia Blanca
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Biomed Phys Eng Express
Año:
2023
Tipo del documento:
Article
País de afiliación:
Singapur