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TractoFlow:一个利用 Nextflow 和 Singularity 的强大、高效且可重复的扩散磁共振成像流水线。

TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity.

机构信息

Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Canada; Imeka Solutions Inc, Sherbrooke, Canada.

Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Canada; Imeka Solutions Inc, Sherbrooke, Canada.

出版信息

Neuroimage. 2020 Sep;218:116889. doi: 10.1016/j.neuroimage.2020.116889. Epub 2020 May 21.

Abstract

Diffusion MRI tractography processing pipeline requires a large number of steps (typically 20+ steps). If parameters of these steps, number of threads, and random seed generators are not carefully controlled, the resulting tractography can easily be non-reproducible and non-replicable, even in test-test experiments. To handle these issues, we developed TractoFlow. TractoFlow is fully automatic from raw diffusion weighted images to tractography. The pipeline also outputs classical diffusion tensor imaging measures and several fiber orientation distribution function measures. TractoFlow supports the recent Brain Imaging Data Structure (BIDS) format as input and is based on two engines: Nextflow and Singularity. In this work, the TractoFlow pipeline is evaluated on three databases and shown to be efficient and reproducible from 98% to 100%, depending on parameter choices. Moreover, it is easy to use for non-technical users, with little to no installation requirements. TractoFlow is publicly available for academic research and is an important step forward for better structural brain connectivity mapping.

摘要

扩散 MRI 束流追踪处理管道需要大量的步骤(通常超过 20 个步骤)。如果这些步骤的参数、线程数量和随机种子生成器没有得到仔细控制,那么即使在测试-测试实验中,生成的束流追踪也很容易变得不可重复和不可复制。为了解决这些问题,我们开发了 TractoFlow。TractoFlow 从原始扩散加权图像到束流追踪完全自动化。该管道还输出经典的扩散张量成像测量值和几个纤维方向分布函数测量值。TractoFlow 支持最近的脑成像数据结构 (BIDS) 格式作为输入,并且基于两个引擎:Nextflow 和 Singularity。在这项工作中,TractoFlow 管道在三个数据库上进行了评估,结果表明,根据参数选择,其效率和可重复性从 98%到 100%不等。此外,它易于非技术用户使用,几乎不需要安装要求。TractoFlow 可供学术研究使用,是朝着更好的结构脑连接图迈进的重要一步。

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