The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Using Dynamic Condor-Based Services for Classifying Schizophrenia in Diffusion Tensor Images
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR
International Journal of High Performance Computing Applications
A data-driven workflow language for grids based on array programming principles
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science
Dual Tensor Atlas Generation Based on a Cohort of Coregistered non-HARDI Datasets
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Special section: Medical imaging on grids
Future Generation Computer Systems
Future Generation Computer Systems
A virtual laboratory for medical image analysis
IEEE Transactions on Information Technology in Biomedicine
A Grid-Enabled Gateway for Biomedical Data Analysis
Journal of Grid Computing
A classification of file placement and replication methods on grids
Future Generation Computer Systems
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Diffusion Tensor MRI (DTI) is a rather recent image acquisition modality that can help identify disease processes in nerve bundles in the brain. Due to the large and complex nature of such data, its analysis requires new and sophisticated pipelines that are more efficiently executed within a grid environment. We present our progress over the past four years in the development and porting of the DTI analysis pipeline to grids. Starting with simple jobs submitted from the command-line, we moved towards a workflow-based implementation and finally into a web service that can be accessed via web browsers by end-users. The analysis algorithms evolved from basic to state-of-the-art, currently enabling the automatic calculation of a population-specific ‘atlas’ where even complex brain regions are described in an anatomically correct way. Performance statistics show a clear improvement over the years, representing a mutual benefit from both a technology push and application pull.