论文标题

用于服务不足的设置和护理点成像的便携式大脑MRI扫描仪

A Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging

论文作者

Cooley, Clarissa Z., McDaniel, Patrick C., Stockmann, Jason P., Srinivas, Sai Abitha, Cauley, Stephen, Sliwiak, Monika, Sappo, Charlotte R., Vaughn, Christopher F., Guerin, Bastien, Rosen, Matthew S., Lev, Michael H., Wald, Lawrence L.

论文摘要

MRI扫描仪的访问和可用性通常受其成本,选址和基础设施要求的限制。这排除了无法运送到专业扫描仪套件的患者中MRI诊断(神经系统评估的参考标准)。这包括重病和不稳定的患者,以及位于低资源环境中的患者。这里提出的扫描仪设计旨在通过大大减少这些限制来扩展MRI的覆盖范围。我们的目标是将MRI的成本效益计算转移到更频繁和多样化的用途,包括全球范围内的可访问性和护理点的可访问性。在这里,我们用紧凑的轻质永久磁铁描述了便携式大脑MRI扫描仪,并具有内置的读取场梯度。我们的低场(80吨)Halbach圆柱体设计稀土永久磁体的设计产生了122千克磁铁,具有最小的流浪场,既不需要低温或外部功率。内置磁场梯度减少了对高功率梯度驱动器的依赖,这不仅降低了整体系统功率和冷却​​要求,还降低了声学噪声。用广义的迭代图像重建技术缓解编码字段中的缺陷,该技术使用了现场模式的先前表征。我们的系统使用T1,T2和质子密度在体内脑图像中加权,空间分辨率为2.2 x 1.3 x 6.8 mm $^3 $。

Access to and availability of MRI scanners is typically limited by their cost, siting and infrastructure requirements. This precludes MRI diagnostics, the reference standard for neurological assessment, in patients who cannot be transported to specialized scanner suites. This includes patients who are critically ill and unstable, and patients located in low-resource settings. The scanner design presented here aims to extend the reach of MRI by substantially reducing these limitations. Our goal is to shift the cost-benefit calculation for MRI toward more frequent and varied use, including improved accessibility worldwide and point of care operation. Here, we describe a portable brain MRI scanner using a compact, lightweight permanent magnet, with a built-in readout field gradient. Our low-field (80 mT) Halbach cylinder design of rare-earth permanent magnets results in a 122 kg magnet with minimal stray-field, requiring neither cryogenics nor external power. The built-in magnetic field gradient reduces reliance on high-power gradient drivers, which not only lowers overall system power and cooling requirements, but also reduces acoustic noise. Imperfections in the encoding fields are mitigated with a generalized iterative image reconstruction technique, that uses prior characterization of the field patterns. Our system was validated using T1, T2 and proton density weighted in vivo brain images with a spatial resolution of 2.2 x 1.3 x 6.8 mm$^3$.

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