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同时使用线性和非线性梯度进行B不均匀性校正。

Simultaneous use of linear and nonlinear gradients for B inhomogeneity correction.

作者信息

Ertan Koray, Atalar Ergin

机构信息

National Magnetic Resonance Research Center (UMRAM), Bilkent University, Bilkent, Ankara, Turkey.

Department of Electrical and Electronics Engineering, Bilkent University, Bilkent, Ankara, Turkey.

出版信息

NMR Biomed. 2017 Sep;30(9). doi: 10.1002/nbm.3742. Epub 2017 May 25.

DOI:10.1002/nbm.3742
PMID:28543797
Abstract

The simultaneous use of linear spatial encoding magnetic fields (L-SEMs) and nonlinear spatial encoding magnetic fields (N-SEMs) in B inhomogeneity problems is formulated and demonstrated with both simulations and experiments. Independent excitation k-space variables for N-SEMs are formulated for the simultaneous use of L-SEMs and N-SEMs by assuming a small tip angle. The formulation shows that, when N-SEMs are considered as an independent excitation k-space variable, numerous different k-space trajectories and frequency weightings differing in dimension, length, and energy can be designed for a given target transverse magnetization distribution. The advantage of simultaneous use of L-SEMs and N-SEMs is demonstrated by B inhomogeneity correction with spoke excitation. To fully utilize the independent k-space formulations, global optimizations are performed for 1D, 2D RF power limited, and 2D RF power unlimited simulations and experiments. Three different cases are compared: L-SEMs alone, N-SEMs alone, and both used simultaneously. In all cases, the simultaneous use of L-SEMs and N-SEMs leads to a decreased standard deviation in the ROI compared with using only L-SEMs or N-SEMs. The simultaneous use of L-SEMs and N-SEMs results in better B inhomogeneity correction than using only L-SEMs or N-SEMs due to the increased number of degrees of freedom.

摘要

本文通过模拟和实验阐述并展示了在磁场不均匀性问题中同时使用线性空间编码磁场(L-SEMs)和非线性空间编码磁场(N-SEMs)的方法。通过假设小翻转角,为同时使用L-SEMs和N-SEMs制定了N-SEMs的独立激发k空间变量。该公式表明,当将N-SEMs视为独立激发k空间变量时,对于给定的目标横向磁化分布,可以设计出许多不同维度、长度和能量的k空间轨迹和频率加权。通过辐条激发进行磁场不均匀性校正,证明了同时使用L-SEMs和N-SEMs的优势。为了充分利用独立的k空间公式,对一维、二维射频功率受限和二维射频功率不受限的模拟和实验进行了全局优化。比较了三种不同情况:单独使用L-SEMs、单独使用N-SEMs以及同时使用两者。在所有情况下,与仅使用L-SEMs或N-SEMs相比,同时使用L-SEMs和N-SEMs会导致感兴趣区域(ROI)的标准差降低。由于自由度增加,同时使用L-SEMs和N-SEMs比仅使用L-SEMs或N-SEMs能更好地校正磁场不均匀性。

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