探索人体大脑代谢在10.5 T:从磁共振光谱成像的初步见解。

IF 4.7 2区 医学 Q1 NEUROIMAGING
Lukas Hingerl , Bernhard Strasser , Simon Schmidt , Korbinian Eckstein , Guglielmo Genovese , Edward J. Auerbach , Andrea Grant , Matt Waks , Andrew Wright , Philipp Lazen , Alireza Sadeghi-Tarakameh , Gilbert Hangel , Fabian Niess , Yigitcan Eryaman , Gregor Adriany , Gregory Metzger , Wolfgang Bogner , Małgorzata Marjańska
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引用次数: 0

摘要

超高场磁共振(MR)系统(7 T和9.4 T)提供了以更高的精度探测人脑代谢的能力。在这里,我们展示了用世界上第一个10.5 T全身磁共振系统对人脑进行的3D磁共振光谱成像(MRSI)的初步发现。方法:采用定制的16通道发射和80通道接收磁共振线圈,在10.5 T下,我们对6名健康志愿者进行了磁共振成像采集,以绘制体内人类大脑中的代谢化合物。测试了三种不同基质尺寸和扫描时间的MRSI方案(4.4×4.4×4.4 mm³:10 min, 3.4×3.4×3.4 mm³:15 min, 2.75×2.75×2.75 mm³:25 min)。利用同心圆轨迹对具有~ 4 kHz频谱带宽的球形三维k空间进行高效编码。B0/B1显示基于各自的场图序列,并获得解剖t1加权MRI。结果:通过将超高场系统的优势与自由感应衰减(FID)MRSI的优势相结合,我们首次在10.5 T下获得了健康人脑中高(体素大小为4.4³mm³)和超高(体素大小为2.75³mm³)各向同性空间分辨率的代谢图谱。分别获得了13种代谢化合物(天冬氨酸、胆碱化合物和肌酸 + 磷酸肌酸、γ-氨基丁酸(GABA)、葡萄糖、谷氨酰胺、谷氨酸、谷胱甘肽、肌醇、scylo -肌醇、n -乙酰天冬氨酸(NAA)、n -乙酰天冬氨酸谷氨酸(NAAG)、牛磺酸)和大分子图谱。光谱质量在顶叶和枕叶表现突出,而在颞叶和额叶等其他脑区表现较差。在2.75×2.75×2.75 mm³分辨率下,平均总NAA (tNAA = NAA + NAAG)在整个感兴趣的体积上的信噪比为12.1±8.9,tNAA半最大值时的全宽度为24.7±9.6 Hz。对增加频谱带宽的需求与空间光谱编码相结合,对梯度系统提出了重大挑战,但FID方法在MRSI感兴趣的体积内对∆B0 = 45±38 Hz(频率偏移±空间STD)和B1+ = 65±11°的场不均匀性非常稳健。讨论:这些初步发现强调了10.5 T核磁共振成像作为探测脑代谢的强大成像工具的潜力。通过提供前所未有的空间和光谱分辨率,这项技术可以为人类大脑代谢的复杂性提供独特的视角,但进一步的技术发展将需要优化数据质量并充分利用10.5 T核磁共振成像的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging

Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging

Introduction

Ultra-high-field magnetic resonance (MR) systems (7 T and 9.4 T) offer the ability to probe human brain metabolism with enhanced precision. Here, we present the preliminary findings from 3D MR spectroscopic imaging (MRSI) of the human brain conducted with the world's first 10.5 T whole-body MR system.

Methods

Employing a custom-built 16-channel transmit and 80-channel receive MR coil at 10.5 T, we conducted MRSI acquisitions in six healthy volunteers to map metabolic compounds in the human cerebrum in vivo. Three MRSI protocols with different matrix sizes and scan times (4.4 × 4.4 × 4.4 mm³: 10 min, 3.4 × 3.4 × 3.4 mm³: 15 min, and 2.75×2.75×2.75 mm³: 25 min) were tested. Concentric ring trajectories were utilized for time-efficient encoding of a spherical 3D k-space with ∼4 kHz spectral bandwidth. B0/B1 shimming was performed based on respective field mapping sequences and anatomical T1-weighted MRI were obtained.

Results

By combining the benefits of an ultra-high-field system with the advantages of free-induction-decay (FID-)MRSI, we present the first metabolic maps acquired at 10.5 T in the healthy human brain at both high (voxel size of 4.4³ mm³) and ultra-high (voxel size of 2.75³ mm³) isotropic spatial resolutions. Maps of 13 metabolic compounds (aspartate, choline compounds and creatine + phosphocreatine, γ-aminobutyric acid (GABA), glucose, glutamine, glutamate, glutathione, myo-inositol, scyllo-inositol, N-acetylaspartate (NAA), N-acetylaspartylglutamate (NAAG), taurine) and macromolecules were obtained individually. The spectral quality was outstanding in the parietal and occipital lobes, but lower in other brain regions such as the temporal and frontal lobes. The average total NAA (tNAA = NAA + NAAG) signal-to-noise ratio over the whole volume of interest was 12.1± 8.9 and the full width at half maximum of tNAA was 24.7± 9.6 Hz for the 2.75 × 2.75 × 2.75 mm³ resolution. The need for an increased spectral bandwidth in combination with spatio-spectral encoding imposed significant challenges on the gradient system, but the FID approach proved very robust to field inhomogeneities of ∆B0 = 45 ± 38 Hz (frequency offset ± spatial STD) and B1+ = 65 ± 11° within the MRSI volume of interest.

Discussion

These preliminary findings highlight the potential of 10.5 T MRSI as a powerful imaging tool for probing cerebral metabolism. By providing unprecedented spatial and spectral resolution, this technology could offer a unique view into the metabolic intricacies of the human brain, but further technical developments will be necessary to optimize data quality and fully leverage the capabilities of 10.5 T MRSI.
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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