云脑-MRS:一种智能云计算平台,用于体内磁共振光谱预处理,量化和分析.
Xiaodie Chen1, Jiayu Li1, Dicheng Chen1
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China.
Journal of magnetic resonance (San Diego, Calif. : 1997)
|December 1, 2023
概括
CloudBrain-MRS是一个新的云平台,提供先进的磁共振光谱 (MRS) 处理. 它整合了人工智能和疾病生物标志物发现和代谢物分析的经典方法.
科学领域:
- 神经成像是一种神经成像.
- 生物医学工程 生物医学工程
- 计算生物学 计算生物学
背景情况:
- 磁共振光谱 (MRS) 通过分析代谢物信号,对疾病诊断至关重要.
- 用户友好的MRS处理软件的有限可访问性阻碍了临床研究.
- 现有的工具缺乏集成的先进算法和基于云的可访问性.
研究的目的:
- 开发CloudBrain-MRS,这是一个基于云的平台,用于可访问和先进的MRS数据处理.
- 整合传统和人工智能 (AI) 算法,以进行增强的分析.
- 促进临床研究中的生物标志物发现和代谢物量化.
主要方法:
- 开发了一个基于网络的,基于云的平台 (CloudBrain-MRS),不需要用户端安装.
- 将LCModel与先进的AI算法集成为MRS数据的批处理.
- 实现了自动化统计分析,一致性验证和3D可视化工具.
主要成果:
- CloudBrain-MRS支持来自不同供应商的MRS数据的处理.
- 该平台允许自动发现生物标志物并比较量化方法.
- 以健康受试者和轻度认知障碍患者的数据证明了平台的实用性.
结论:
- CloudBrain-MRS是第一个采用人工智能处理的体内MRS云平台.
- 该平台增强了MRS临床研究的可访问性和分析能力.
- 通过MRSHub提供免费访问至少两年.
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