Evolution of grid-based services for Diffusion Tensor Image analysis

Authors:
M. W. A. Caan;S. Shahand;F. M. Vos;A. H. C. Van Kampen;S. D. Olabarriaga
Affiliations:
Department of Radiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands and Department of Imaging Science and Technology (Quantitative Imaging Group), Delft Universit ...;Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands;Department of Radiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands and Department of Imaging Science and Technology (Quantitative Imaging Group), Delft Universit ...;Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands and Biosystems Data Analysis group, Swammerdam I ...;Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
Venue:
Future Generation Computer Systems
Year:
2012

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Abstract

Analyzing Diffusion Tensor Image data of the human brain of large study groups is complex and demands new, sophisticated and computationally intensive pipelines that can efficiently be executed. We present our progress over the past five years in the development and porting of the DTI analysis pipeline to a grid infrastructure. Starting with simple jobs submitted from the command-line, we moved towards a workflow-based implementation and finally into the e-BioInfra Gateway, which offers a web interface for the execution of selected biomedical data analysis software on the Dutch Grid. This gateway is currently being actively used by neuroscientists and for educational purposes.