A virtual laboratory for medical image analysis

  • Authors:
  • Sílvia D. Olabarriaga;Tristan Glatard;Piter T. de Boer

  • Affiliations:
  • Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands;French National Center For Scientific Research, CREATIS unit, Villeurbanne, France and Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the Univers ...;Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands and PCC UvA BV, Amsterdam, The Netherlands

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine
  • Year:
  • 2010

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Abstract

This paper presents the design, implementation, and usage of a virtual laboratory for medical image analysis. It is fully based on the Dutch grid, which is part of the Enabling Grids for E-sciencE (EGEE) production infrastructure and driven by the gLite middleware. The adopted service-oriented architecture enables decoupling the user-friendly clients running on the user's workstation from the complexity of the grid applications and infrastructure. Data are stored on grid resources and can be browsed/viewed interactively by the user with the Virtual Resource Browser (VBrowser). Data analysis pipelines are described as Scufl workflows and enacted on the grid infrastructure transparently using the MOTEUR workflow management system. VBrowser plug-ins allow for easy experiment monitoring and error detection. Because of the strict compliance to the grid authentication model, all operations are performed on behalf of the user, ensuring basic security and facilitating collaboration across organizations. The system has been operational and in daily use for eight months (December 2008), with six users, leading to the submission of 9000 jobs/month in average and the production of several terabytes of data.