Gridifying a Diffusion Tensor Imaging Analysis Pipeline

Matthan W.A. Caan, Frans M. Vos, Antoine H.C. van Kampen, Silvia D. Olabarriaga, Lucas J. van Vliet
2010 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing  
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
more » ... wards 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 populationspecific "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.
doi:10.1109/ccgrid.2010.99 dblp:conf/ccgrid/CaanVKOV10 fatcat:z7nsg7r7fbfonnzmjkccsewoj4