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在 3T 场强下使用三重聚焦技术区分 GABA 的 2.29ppm 共振峰。

Distinction of the GABA 2.29 ppm resonance using triple refocusing at 3 T in vivo.

机构信息

Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas.

出版信息

Magn Reson Med. 2018 Oct;80(4):1307-1319. doi: 10.1002/mrm.27142. Epub 2018 Feb 14.

Abstract

PURPOSE

To develop H MR spectroscopy that provides distinction of γ-aminobutyric acid (GABA) signal at 3 T in vivo.

METHODS

Triple-refocusing was tailored at 3 T, with numerical simulations and phantom validation, for distinction of the GABA 2.29-ppm resonance from the neighboring glutamate resonance. The optimization was performed on the inter-RF pulse time delays and the duration and carrier frequency of a non-slice-selective RF pulse. The optimized triple refocusing was tested in multiple regions in 6 healthy subjects, including hippocampus. The in vivo spectra were analyzed with the LCModel using in-house basis spectra. After normalization of the metabolite signal estimates to water, the metabolite concentrations were quantified with reference to medial-occipital creatine at 8 mM.

RESULTS

A triple-refocusing scheme with optimized inter-RF pulse time delays (TE = 74 ms) was obtained for GABA detection. With optimized duration (14 ms) and carrier frequency (4.5 ppm) of the non-slice-selective RF pulse, the triple refocusing gave rise to distinction between the GABA 2.29-ppm and glutamate 2.35-ppm signals. The GABA 2.29-ppm signal was clearly discernible in spectra in vivo (voxel size 4 to 12 mL; scan times 4.3 to 17 minutes). With a total of 24 spectra from 6 gray or white matter-dominant regions, the GABA concentration was measured to be 0.62 to 1.15 mM (Cramer-Rao lower bound of 8 to 14%), and the glutamate level 5.8 to 11.2 mM (Cramer-Rao lower bound of 3 to 6%).

CONCLUSION

The optimized triple refocusing provided distinction between GABA and glutamate signals and permitted direct codetection of these metabolites in the human brain at 3 T in vivo.

摘要

目的

开发一种在 3T 下提供γ-氨基丁酸(GABA)信号区分的 H MRS 方法。

方法

在 3T 下进行了三脉冲重聚,通过数值模拟和体模验证,用于区分 GABA 的 2.29ppm 共振与邻近谷氨酸共振。优化是在 RF 脉冲之间的时间延迟、非选层 RF 脉冲的持续时间和载波频率上进行的。在 6 名健康受试者的多个区域(包括海马体)中测试了优化的三脉冲重聚。使用内部基础谱对体内光谱进行 LCModel 分析。在用水中对代谢物信号估计进行归一化后,根据内侧枕叶肌酸(8mM)对代谢物浓度进行定量。

结果

得到了用于 GABA 检测的具有优化 RF 脉冲间时间延迟(TE=74ms)的三脉冲重聚方案。使用优化的非选层 RF 脉冲持续时间(14ms)和载波频率(4.5ppm),三重聚焦产生了 GABA 2.29ppm 和谷氨酸 2.35ppm 信号之间的区分。在体内光谱中(体素大小为 4 至 12mL;扫描时间为 4.3 至 17 分钟)可以清楚地分辨出 GABA 2.29ppm 信号。在总共 24 个来自 6 个灰质或白质主导区域的光谱中,GABA 浓度测量值为 0.62 至 1.15mM(8 至 14%的 Cramer-Rao 下限),谷氨酸水平为 5.8 至 11.2mM(3 至 6%的 Cramer-Rao 下限)。

结论

优化的三脉冲重聚提供了 GABA 和谷氨酸信号之间的区分,并允许在 3T 下直接在人体大脑中检测这些代谢物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe3a/6092256/ee780bf88149/nihms939140f1.jpg

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