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通过考虑横向磁化的不完全破坏对动态对比增强磁共振成像中的B和T进行联合估计。

Combined estimation of Band Tfor dynamic contrast-enhanced MRI by accounting for incomplete spoiling of transverse magnetization.

作者信息

He J, Li Z F, Qi T F, Hou Z, Koh T S

机构信息

Department of Oncologic Imaging, National Cancer Centre, 169610, Singapore.

Hwa Chong Institution, 269734, Singapore.

出版信息

Biomed Phys Eng Express. 2023 Mar 28;9(3). doi: 10.1088/2057-1976/acc318.

Abstract

The variable flip angle (VFA) method for longitudinal relaxation time () measurement is inherently sensitive to inaccuracies in the radiofRequency transmit field () and incomplete spoiling of transverse magnetization. The objective of this study is to devise a computational method that addresses the problems of incomplete spoiling andinhomogeneity in the estimation ofusing VFA method.. Using an analytical expression of the gradient echo signal with account of incomplete spoiling, we first showed that ill-posedness in the simultaneous estimation ofandcan 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 ofand.. We evaluated the proposed method on a graded-concentration phantom to show that the derivedestimates 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.estimates derived from in-vivo brain imaging were consistent with literature values for gray and white matter tissues.. Contrary to the common notion thatcorrection in the VFA method formapping should be performed separately, we show that combined estimation ofandis feasible by the proposed method simply with the acquisition of 5 flip angles, as demonstrated on both phantom and in-vivo imaging data.

摘要

用于纵向弛豫时间()测量的可变翻转角(VFA)方法本质上对射频发射场()中的不准确以及横向磁化的不完全扰相敏感。本研究的目的是设计一种计算方法,以解决使用VFA方法估计时不完全扰相和不均匀性的问题。考虑到不完全扰相,利用梯度回波信号的解析表达式,我们首先表明,使用大于恩斯特角的翻转角可以消除同时估计和时的不适定性。然后,我们基于这种不完全扰相的信号模型设计了一种非线性优化方法,用于同时估计和。我们在梯度浓度体模上评估了所提出的方法,结果表明,导出的估计值比常规VFA方法有所改进,并且与通过反转恢复测量的参考值相当。将翻转角的数量从17个减少到5个产生了一致的结果,表明所提出的方法在数值上是稳定的。从活体脑成像得出的估计值与灰质和白质组织的文献值一致。与通常认为应分别对VFA方法进行映射校正的观念相反,我们表明,通过所提出的方法,仅采集5个翻转角就可以同时估计和,这在体模和活体成像数据上均得到了证明。

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