Zaiss Moritz, Ehses Philipp, Scheffler Klaus
High-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Department of Biomedical Magnetic Resonance, Eberhard-Karls University Tübingen, Tübingen, Germany.
NMR Biomed. 2018 Apr;31(4):e3879. doi: 10.1002/nbm.3879. Epub 2018 Jan 26.
Gradient echo (GRE)-based acquisition provides a robust readout method for chemical exchange saturation transfer (CEST) at ultrahigh field (UHF). To develop a snapshot-CEST approach, the transient GRE signal and point spread function were investigated in detail, leading to optimized measurement parameters and reordering schemes for fast and robust volumetric CEST imaging. Simulation of the transient GRE signal was used to determine the optimal sequence parameters and the maximum feasible number of k-space lines. Point spread function analysis provided an insight into the induced k-space filtering and the performance of different rectangular reordering schemes in terms of blurring, signal-to-noise ratio (SNR) and relaxation dependence. Simulation results were confirmed in magnetic resonance imaging (MRI) measurements of healthy subjects. Minimal repetition time (TR) is beneficial for snapshot-GRE readout. At 9.4 T, for TR = 4 ms and optimal flip angle close to the Ernst angle, a maximum of 562 k-space lines can be acquired after a single presaturation, providing decent SNR with high image quality. For spiral-centric reordered k-space acquisition, the image quality can be further improved using a rectangular spiral reordering scheme adjusted to the field of view. Application of the derived snapshot-CEST sequence for fast imaging acquisition in the human brain at 9.4 T shows excellent image quality in amide and nuclear Overhauser enhancement (NOE), and enables guanidyl CEST detection. The proposed snapshot-CEST establishes a fast and robust volumetric CEST approach ready for the imaging of known and novel exchange-weighted contrasts at UHF.
基于梯度回波(GRE)的采集为超高场(UHF)下的化学交换饱和转移(CEST)提供了一种强大的读出方法。为了开发一种快照CEST方法,对瞬态GRE信号和点扩散函数进行了详细研究,从而得到了优化的测量参数和重排序方案,以实现快速且稳健的容积CEST成像。利用瞬态GRE信号的模拟来确定最佳序列参数和k空间线的最大可行数量。点扩散函数分析深入了解了所诱导的k空间滤波以及不同矩形重排序方案在模糊、信噪比(SNR)和弛豫依赖性方面的性能。在健康受试者的磁共振成像(MRI)测量中证实了模拟结果。最小重复时间(TR)有利于快照GRE读出。在9.4T时,对于TR = 4ms且最佳翻转角接近 Ernst 角,单次预饱和后最多可采集562条k空间线,能提供具有高图像质量的良好SNR。对于以螺旋为中心的重排k空间采集,使用根据视野调整的矩形螺旋重排序方案可进一步提高图像质量。将推导得到的快照CEST序列应用于9.4T下人体大脑的快速成像采集,在酰胺和核Overhauser增强(NOE)方面显示出优异的图像质量,并能够检测胍基CEST。所提出的快照CEST建立了一种快速且稳健的容积CEST方法,可用于UHF下已知和新型交换加权对比的成像。