versaFlow:用于调整分辨率的扩散核磁共振处理的多功能管道,及其应用在研究PRIME-DE数据库的可变性方面
Alex Valcourt Caron1, Amir Shmuel2, Ziqi Hao2
1Sherbrooke Connectivity Imaging Laboratory, Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada.
Frontiers in neuroinformatics
|August 28, 2023
概括
我们开发了versaFlow,这是一个强大的管道,用于分析非人类灵长类动物的扩散MRI数据. 该工具解决了验证挑战,并揭示了扩散指标的显著变化,突出了协调的必要性.
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
- 计算神经科学是一种神经科学.
背景情况:
- 验证扩散加权成像 (DWI) 是一个挑战,因为没有黄金标准.
- 翻译分析,比较人类和动物数据,是一种常见的验证方法.
- 非人类灵长类动物 (NHP) 是有价值的模型,因为它们的细胞架构与人类相近,但需要专门的成像工具.
研究的目的:
- 推出versaFlow,一个可扩展和强大的Nextflow管道用于在体内处理NHP DWI数据.
- 分析灵长类数据交换 (PRIME-DE) 数据集中的扩散指标的可变性.
- 为了评估versaFlow管道的可重复性.
主要方法:
- 开发了versaFlow,一个使用最先进的MRI处理和扩散建模 (DTI,CSD,DIAMOND) 的模块化管道.
- 从PRIME-DE数据集 (32个受试者,3个站点,不同的分辨率和获取参数) 获取到NHP DWI数据.
- 使用来自艾克斯-马赛站点的数据进行了一项可复制性研究.
主要成果:
- 对大多数扩散指标来说,versaFlow表现出高的可重复性.
- 由于软件限制,DIAMOND的马分布参数显示出较低的可重现性.
- PRIME-DE数据集在扩散指标中表现出相当大的变化,与人类研究的变化相当或超过.
结论:
- versaFlow是一个可定制和可扩展的管道,用于NHP DWI分析.
- 显著的数据变化需要仔细的统计分析,并表明需要采购协调.
- 未来的研究应该考虑强大的算法来管理NHP成像中的跨扫描仪和跨供应商变化.
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