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7T下基于信噪比高效的全脑伪连续动脉自旋标记灌注成像

SNR-efficient whole-brain pseudo-continuous arterial spin labeling perfusion imaging at 7 T.

作者信息

Woods Joseph G, Ji Yang, Li Hongwei, Hess Aaron T, Okell Thomas W

机构信息

Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Department of Electronic Engineering and Information Science, School of Information Science and Technology, University of Science and Technology of China, Hefei, China.

出版信息

Magn Reson Med. 2025 Sep;94(3):965-981. doi: 10.1002/mrm.30527. Epub 2025 May 28.

Abstract

PURPOSE

To optimize pseudo-continuous arterial spin labeling (PCASL) parameters to maximize SNR efficiency for RF power constrained whole brain perfusion imaging at 7 T.

METHODS

We used Bloch simulations of pulsatile laminar flow to optimize the PCASL parameters for maximum SNR efficiency, balancing labeling efficiency and total RF power. The optimization included adjusting the inter-RF pulse spacing (TR), mean B (B ), slice-selective gradient amplitude (G), and mean gradient amplitude (G). In vivo data were acquired from six volunteers at 7 T to validate the optimized parameters. Dynamic B-shimming and flip angle adjustments were used to avoid needing to make the PCASL parameters robust to B/B variations.

RESULTS

The optimized PCASL parameters achieved a significant (3.3×) reduction in RF power while maintaining high labeling efficiency. This allowed for longer label durations and minimized deadtime, resulting in a 118% improvement in SNR efficiency in vivo compared to a previously proposed protocol. Additionally, the static tissue response was improved, reducing the required distance between labeling plane and imaging volume.

CONCLUSION

These optimized PCASL parameters provide a robust and efficient approach for whole brain perfusion imaging at 7 T, with significant improvements in SNR efficiency and reduced specific absorption rate burden.

摘要

目的

优化伪连续动脉自旋标记(PCASL)参数,以在7T磁场下实现射频功率受限的全脑灌注成像的信噪比(SNR)效率最大化。

方法

我们使用脉动层流的布洛赫模拟来优化PCASL参数,以实现最大的SNR效率,平衡标记效率和总射频功率。优化内容包括调整射频脉冲间隔(TR)、平均B值(B)、层面选择梯度幅度(G)和平均梯度幅度(G)。在7T磁场下从6名志愿者获取体内数据,以验证优化后的参数。采用动态B匀场和翻转角调整,以避免使PCASL参数对B/B变化具有鲁棒性。

结果

优化后的PCASL参数在保持高标记效率的同时,使射频功率显著降低(降低了3.3倍)。这使得标记持续时间更长,死时间最小化,与先前提出的方案相比,体内SNR效率提高了118%。此外,静态组织响应得到改善,减少了标记平面与成像体积之间所需的距离。

结论

这些优化后的PCASL参数为7T磁场下的全脑灌注成像提供了一种稳健且高效的方法,在SNR效率方面有显著提高,同时降低了比吸收率负担。

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