Fastr: A Workflow Engine for Advanced Data Flows in Medical Image Analysis

Frontiers in ICT

Achterberg, Hakim C.¹  Niessen, Wiro J.¹  Koek, Marcel¹ 

[1] Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus MC, Netherlands

关键词: workflow;    pipeline;    data processing;    provenance;    Reproducible Research;    Distributed Computing;    Data flow;    python;   

DOI  :  10.3389/fict.2016.00015

学科分类：计算机网络和通讯

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

CC BY