Whole-Slab 3D MR Spectroscopic Imaging of the Human Brain With Spiral-Out-In Sampling at 7T.
Whole-Slab 3D MR Spectroscopic Imaging of the Human Brain With Spiral-Out-In Sampling at 7T.
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DOI：
10.1002/jmri.27437
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发表时间：
2021-04
期刊：
影响因子：
--
通讯作者：
Andronesi OC
中科院分区：
文献类型：
--
作者：
Esmaeili M;Strasser B;Bogner W;Moser P;Wang Z;Andronesi OC
使用质子磁共振光谱成像的代谢成像在场强下提高了≥7T的灵敏度和光谱分辨率。与传统的基于笛卡尔的光谱成像相比，螺旋轨迹能够更快地收集数据，有望用于全脑MRSI的临床翻译。然而，在7T时的技术考虑导致螺旋输出(SO)采集的采样效率不是最优的，因为轨迹的很大一部分由回卷器组成。开发并实现一种螺旋-出-入(SOI)轨迹，用于7T全脑MRSI采样。我们假设SOI将改善代谢物图谱的信噪比(SNR)，这是因为更有效的采集。有远见。五名健康志愿者(28-38岁，三名女性)和一个幻影。导航绝热自旋回波螺旋3DMRSI在7T。将SOI轨迹的3D堆叠结合到绝热自旋回波磁共振成像序列中，并进行实时运动和垫片校正。得到了代谢物的光谱拟合度、信噪比和克拉美-罗下限(CRLB)。比较了tNAA、TCR和Tcho三种代谢物的信号强度和CRLB值。在水图上评价峰值信噪比(PSNR)、结构相似指数(SSIM)和信噪比。统计检验采用非参数Mann-Whitney U检验。与SO相比，SOI轨迹：1)k空间采样效率提高23%；2)对梯度硬件的要求较低，Gmax降低36%，Smax降低26%；3)水图峰值信噪比提高4.94分贝(P=0.0006)；4)使信噪比提高29%(P=0.003)，CRLB值降低26-35%(P=0.02，tNAA)、35-55%(P=0.03，TCR)和22-23%(P=0.04，Tcho)，从而增加了良好体素的数量(例如，TCR增加了11%，P=0.03)。与SOI相比，SOI对信号伪影比和SSIM没有显著影响(P=0.65)。与SO相比，SOI在7T时提供了更有效的MRSI，从而改善了数据质量和代谢物定量。1 2
Metabolic imaging using proton magnetic resonance spectroscopic imaging (MRSI) has increased the sensitivity and spectral resolution at field strengths of ≥7T. Compared to the conventional Cartesian-based spectroscopic imaging, spiral trajectories enable faster data collection, promising the clinical translation of whole-brain MRSI. Technical considerations at 7T, however, lead to a suboptimal sampling efficiency for the spiral-out (SO) acquisitions, as a significant portion of the trajectory consists of rewinders. To develop and implement a spiral-out-in (SOI) trajectory for sampling of whole-brain MRSI at 7T. We hypothesized that SOI will improve the signal-to-noise ratio (SNR) of metabolite maps due to a more efficient acquisition. Prospective. Five healthy volunteers (28–38 years, three females) and a phantom. Navigated adiabatic spin-echo spiral 3D MRSI at 7T. A 3D stack of SOI trajectories was incorporated into an adiabatic spin-echo MRSI sequence with real-time motion and shim correction. Metabolite spectral fitting, SNR, and Cramér–Rao lower bound (CRLB) were obtained. We compared the signal intensity and CRLB of three metabolites of tNAA, tCr, and tCho. Peak SNR (PSNR), structure similarity index (SSIM), and signal-to-artifact ratio were evaluated on water maps. The nonparametric Mann–Whitney U-test was used for statistical testing. Compared to SO, the SOI trajectory: 1) increased the k-space sampling efficiency by 23%; 2) is less demanding for the gradient hardware, requiring 36% lower Gmax and 26% lower Smax; 3) increased PSNR of water maps by 4.94 dB (P = 0.0006); 4) resulted in a 29% higher SNR (P = 0.003) and lower CRLB by 26–35% (P = 0.02, tNAA), 35–55% (P = 0.03, tCr), and 22–23% (P = 0.04, tCho), which increased the number of well-fitted voxels (eg, for tCr by 11%, P = 0.03). SOI did not significantly change the signal-to-artifact ratio and SSIM (P = 0.65) compared to SO. SOI provided more efficient MRSI at 7T compared to SO, which improved the data quality and metabolite quantification. 1 2
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