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在 10.5T 的超高磁场中提高信噪比的射频线圈设计策略。

RF coil design strategies for improving SNR at the ultrahigh magnetic field of 10.5T.

机构信息

Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.

Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.

出版信息

Magn Reson Med. 2025 Feb;93(2):873-888. doi: 10.1002/mrm.30315. Epub 2024 Oct 16.

DOI:10.1002/mrm.30315
PMID:39415477
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11604834/
Abstract

PURPOSE

Toward pushing the boundaries of ultrahigh fields for human brain imaging, we wish to evaluate experimentally achievable SNR relative to ultimate intrinsic SNR (uiSNR) at 10.5T, develop design strategies toward approaching the latter, quantify magnetic field-dependent SNR gains, and demonstrate the feasibility of whole-brain, high-resolution human brain imaging at this uniquely high field strength.

METHODS

A dual row 16-channel self-decoupled transmit (Tx) and receive (Rx) array was developed for 10.5T using custom Tx/Rx switches. A 64-channel receive-only array was built to fit into the 16-channel Tx/Rx array. Electromagnetic modeling and experiments were used to define safe operational power limits. Experimental SNR was evaluated relative to uiSNR at 10.5T and 7T.

RESULTS

The 64-channel Rx array alone captured approximately 50% of the central uiSNR at 10.5T, while an identical array developed for 7T captured about 76% of uiSNR at 7T. The 16-channel Tx/80-channel Rx configuration brought the fraction of uiSNR captured at 10.5T to levels comparable to the 64-channel Rx array at 7T. SNR data displayed an approximate dependence over a large central region when evaluated in the context of uiSNR. Whole-brain, high-resolution -weighted and T-weighted anatomical and gradient-recalled-echo BOLD-EPI functional MRI images were obtained at 10.5T for the first time with such an advanced array.

CONCLUSION

We demonstrated the ability to approach the uiSNR at 10.5T over the human brain, achieving large SNR gains over 7T, currently the most commonly used ultrahigh-field platform. Whole-brain, high-resolution anatomical and EPI-based functional MRI data were obtained at 10.5T, illustrating the promise of greater than 10T fields in studying the human brain.

摘要

目的

为了推动人类大脑成像的超高场极限,我们希望评估在 10.5T 时相对于极限固有信噪比(uiSNR)的实验可实现信噪比(SNR),制定接近后者的设计策略,量化磁场依赖的 SNR 增益,并证明在这种独特的高场强下进行全脑高分辨率人类大脑成像的可行性。

方法

为了在 10.5T 时使用定制的 Tx/Rx 开关开发了一个双行 16 通道自解耦发射(Tx)和接收(Rx)阵列。建立了一个 64 通道仅接收阵列,以适合 16 通道 Tx/Rx 阵列。使用电磁建模和实验来定义安全操作功率限制。相对于 10.5T 和 7T 的 uiSNR 评估实验 SNR。

结果

仅 64 通道 Rx 阵列在 10.5T 时捕获了大约 50%的中央 uiSNR,而在 7T 时开发的相同阵列则捕获了大约 76%的 uiSNR。16 通道 Tx/80 通道 Rx 配置将在 10.5T 时捕获的 uiSNR 比例提高到与 7T 时的 64 通道 Rx 阵列相当的水平。当在 uiSNR 的上下文中评估时,SNR 数据显示出一个近似的 依赖性,跨越了一个大的中央区域。首次使用如此先进的阵列在 10.5T 时获得了全脑高分辨率加权和 T 加权解剖和梯度回波 BOLD-EPI 功能 MRI 图像。

结论

我们证明了在人类大脑中接近 10.5T 的 uiSNR 的能力,相对于 7T 获得了大的 SNR 增益,7T 是目前最常用的超高场平台。在 10.5T 时获得了全脑高分辨率解剖和基于 EPI 的功能 MRI 数据,说明了大于 10T 场在研究人类大脑方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/714c996f139e/MRM-93-873-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/24a89fa00c04/MRM-93-873-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/d7f51e6439e7/MRM-93-873-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/d6c0f3792a2f/MRM-93-873-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/c612482d2b23/MRM-93-873-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/8a53e5536551/MRM-93-873-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/572819b5ad42/MRM-93-873-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/4d337645a5a6/MRM-93-873-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/3753a6f34014/MRM-93-873-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/6e2a9deb7bff/MRM-93-873-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/714c996f139e/MRM-93-873-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/24a89fa00c04/MRM-93-873-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/d7f51e6439e7/MRM-93-873-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/d6c0f3792a2f/MRM-93-873-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/c612482d2b23/MRM-93-873-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/8a53e5536551/MRM-93-873-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/572819b5ad42/MRM-93-873-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/4d337645a5a6/MRM-93-873-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/3753a6f34014/MRM-93-873-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/6e2a9deb7bff/MRM-93-873-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902d/11604834/714c996f139e/MRM-93-873-g001.jpg

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