The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR
International Journal of High Performance Computing Applications
MediGRID: Towards a user friendly secured grid infrastructure
Future Generation Computer Systems
A grid workflow language using high-level petri nets
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
DICOM Image Communication in Globus-Based Medical Grids
IEEE Transactions on Information Technology in Biomedicine
Special section: Medical imaging on grids
Future Generation Computer Systems
Gridifying a Diffusion Tensor Imaging Analysis Pipeline
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Performance Analysis of Diffusion Tensor Imaging in an Academic Production Grid
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Evolution of grid-based services for Diffusion Tensor Image analysis
Future Generation Computer Systems
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
International Journal of Intelligent Information Technologies
Grid based sleep research - Analysis of polysomnographies using a grid infrastructure
Future Generation Computer Systems
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In this paper, we describe the grid integration of medical image processing applications as grid workflows. The workflow management system is able to execute all tasks related to grid communication, such as authorization, scheduling and monitoring. It remains to the developer to make the code accessible for the workflow manager, and to define, what to do with it. Coarse-grained parallelization of processing steps for runtime reduction can easily be realized. We describe the procedure how to port the code to the grid and show exemplarily the integration of segmentation and registration algorithms for transrectal ultrasound guided prostate biopsies.