Fastr:用于医学图像分析中的高级数据流的工作流引擎

Q1 Computer Science
H. Achterberg, Marcel Koek, W. Niessen
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引用次数: 13

摘要

随着成像研究中遇到的数据集数量的增加,处理工作流程的复杂性的增加,以及对数据管理的认识的提高,需要管理的自动化工作流程。本文介绍了Fastr,一个支持高级数据流的自动化工作流引擎。Fastr具有内置的数据来源,用于记录处理轨迹并确保可重复的结果。基于插件的可扩展设计允许系统与几乎任何图像存档和处理基础设施进行交互。该工作流引擎旨在整合定量成像生物标志物管道,以便轻松应用于新数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fastr: A Workflow Engine for Advanced Data Flows in Medical Image Analysis
With the increasing number of datasets encountered in imaging studies, the increasing complexity of processing workflows, and a growing awareness for data stewardship, there is a need for managed, automated workflows. In this paper we introduce Fastr, an automated workflow engine with support for advanced data flows. Fastr has built-in data provenance for recording processing trails and ensuring reproducible results. The extensible plugin-based design allows the system to interface with virtually any image archive and processing infrastructure. This workflow engine is designed to consolidate quantitative imaging biomarker pipelines in order to enable easy application to new data.
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来源期刊
Frontiers in ICT
Frontiers in ICT Computer Science-Computer Networks and Communications
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