Workflow-based approaches to neuroimaging analysis.
Analysis of functional and structural magnetic resonance imaging (MRI) brain images requires a complex sequence of data processing steps to proceed from raw image data to the final statistical tests. Neuroimaging researchers have begun to apply workflow-based computing techniques to automate data analysis tasks. This chapter discusses eight major components of workflow management systems (WFMSs): the workflow description language, editor, task modules, data access, verification, client, engine, and provenance, and their implementation in the Fiswidgets neuroimaging workflow system. Neuroinformatics challenges involved in applying workflow techniques in the domain of neuroimaging are discussed.
Fissell
Kate
K
Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USA.
D000818:Animals; D001921:Brain / Q000033:anatomy & histology*; D001931:Brain Mapping; D003628:Database Management Systems; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D011381:Programming Languages