AUTHOR=Achterberg Hakim C. , Koek Marcel , Niessen Wiro J. TITLE=Fastr: A Workflow Engine for Advanced Data Flows in Medical Image Analysis JOURNAL=Frontiers in ICT VOLUME=3 YEAR=2016 URL=https://www.frontiersin.org/journals/ict/articles/10.3389/fict.2016.00015 DOI=10.3389/fict.2016.00015 ISSN=2297-198X ABSTRACT=
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.