SOCR Events OHBM2013 Workflows

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Contents

SOCR News & Events: OHBM 2013 Workflows Education Course

Event Logistics

Agenda

Course Description

There are Peta bytes of neuroimaging data, 10,000’s of computational algorithms reported in the literature, 1,000’s of independently developed software tools, and 100’s of protocols for analyzing structural, functional, diffusion and spectroscopic neuroimaging data. The demand for sophisticated data management skills, choice of appropriate software tools and reliable computational protocol, and the broad gamut of possible result interpretations require significant multidisciplinary expertise and robust computational infrastructure. Rather than presenting a forum for discussing the theoretical and methodological aspects of neuroimaging and brain mapping, the focus of this education workshop will be on training, practical usage, functionality and applications illustrating tool utilization, software scope and limitations, and available computational infrastructure.

This course will include paired training and application demonstrations on using different graphical and script-based pipeline workflow architectures to manage, process, analyze and visualize large volumes of neuroimaging and genetics data. Attendees will learn to use several concrete end-to-end pipeline workflow solutions for imaging (sMRI, fMRI, DTI) and phenotypic (demographic, genetic, clinical) data in development, aging and pathology. Examples of workflow solutions that will be demonstrated include the LONI Pipeline, Neuroimaging in Python (NiPy), Pipeline system for Octave and Matlab (PSOM) and SWIFT.

Learning Objectives

  • Understanding of the benefits of employing a pipeline workflow infrastructure for large-scale Neuroinformatics, and identification of differences between alternative workflow architectures.
  • Ability to find, modify, execute, monitor and interpret the results of common computational pipeline protocols.
  • Working knowledge of validating, sharing and reviewing computational neuroimage processing protocols as pipeline workflows.

Target Audience

Three types of learners would benefit from this training workshop – experienced investigators (interested in sharing their computational protocol with wider audiences), novice users (looking for high-throughput data processing capabilities), neuroimaging system administrators (searching for distributed, computationally efficient and efficient mechanism to support heterogeneous image computing cluster systems).





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