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2025-11-26 更新
In-vivo imaging with a low-cost MRI scanner and cloud data processing in low-resource settings
Authors:Teresa Guallart-Naval, Robert Asiimwe, Patricia Tusiime, Mary A. Nassejje, Leo Kinyera, Lemi Robin, Maureen Nayebare, Luiz G. C. Santos, Marina Fernández-García, Lucas Swistunow, José M. Algarín, John Stairs, Michael Hansen, Ronald Amodoi, Andrew Webb, Joshua Harper, Steven J. Schiff, Johnes Obungoloch, Joseba Alonso
Purpose: To demonstrate in-vivo imaging with a low-cost, low-field MRI scanner built and operated in Africa, and to show how systematic hardware and software improvements can mitigate the main operational limitations encountered in low-resource environments. Methods: A 46 mT Halbach scanner located at the Mbarara University of Science and Technology (Uganda) was upgraded through a complete reorganization of grounding and shielding, installation of new control electronics and open-source user-interface software. Noise performance was quantified using a standardized protocol and in-vivo brain images were acquired with three-dimensional RARE sequences. Distortion correction was implemented using cloud-based reconstructions incorporating magnetic field maps. Results: The revamped system reached noise levels routinely below three times the thermal limit and demonstrated stable operation over multi-day measurements. Three-dimensional T1- and T2-weighted brain images were successfully acquired and distortion-corrected with remote GPU-based reconstructions and near real-time visualization through the user interface. Conclusions: The results show that low-cost MRI systems can achieve clinically relevant image quality when electromagnetic noise and power-grid instabilities are properly addressed. This work highlights the feasibility of sustainable MRI development in low-resource settings and identifies stable power delivery and local capacity building as the key next steps toward clinical translation.
目的：使用在非洲制造和运营的低成本、低场MRI扫描仪进行体内成像演示，并展示如何通过系统的硬件和软件改进来减轻低资源环境中遇到的主要操作限制。方法：位于姆巴拉拉大学科学与技术学院（乌干达）的46mT Halbach扫描仪通过重新组织接地和屏蔽、安装新的控制电子设备和开源用户界面软件进行了升级。使用标准化协议对噪声性能进行量化，并使用三维RARE序列获取体内脑图像。通过结合磁场图的云重建实现失真校正。结果：改进后的系统噪声水平常规低于热噪声极限的三倍，并在为期数日的测量中表现出稳定的操作性能。三维T1和T2加权脑图像成功获取并通过远程GPU重建进行失真校正，并通过用户界面实现近乎实时的可视化。结论：结果表明，在妥善处理电磁噪声和电网不稳定性的情况下，低成本MRI系统可实现临床相关的图像质量。这项工作强调了低资源环境中可持续MRI发展的可行性，并确定了稳定供电和当地能力建设是临床转化的关键下一步。
论文及项目相关链接
PDF 10 pages, 10 figures, comments welcome
Summary
本文介绍了一台低成本、低场强MRI扫描仪在非洲的建造与运用，并展示了如何通过系统硬件与软件的改进克服低资源环境下MRI扫描仪的主要操作限制。通过对接地、屏蔽的重新组织，新控制电子设备和开源用户界面的安装，以及基于云的重构实现失真校正等技术手段，该扫描仪在噪声性能和成像质量方面取得了显著提升，证明了低成本MRI系统在适当解决电磁噪声和电网不稳定问题后，可达到临床相关图像质量，为低资源环境下的MRI发展提供了可行性。
Key Takeaways
- 低成本、低场强MRI扫描仪在非洲成功应用，展示了在资源有限环境下进行体内成像的可能性。
- 通过硬件和软件改进，解决了MRI扫描仪在低资源环境中遇到的主要操作限制。
- 扫描仪噪声性能得到量化，并实现了低于三倍热噪声水平的稳定操作。
- 成功获取了三维T1和T2加权脑图像，并进行了失真校正。
- 利用远程GPU进行重建和近实时可视化，提高了图像质量和处理效率。
- 强调了稳定电力供应和本地能力建设是推进临床转化的关键步骤。