Grid-Enabled Workflows for Data Intensive Medical Applications

Authors:
Johan Montagnat
Affiliations:
-
Venue:
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Year:
2005

Citing 0
Cited 5

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Computer Supported Cooperative Work in Design IV
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IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Mapping workflow applications with types on heterogeneous specialized platforms

Parallel Computing
DDS: A deadlock detection-based scheduling algorithm for workflow computations in HPC systems with storage constraints

Parallel Computing

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Abstract

Data intensive medical image processing applications can easily benefit from grid capabilities. However, the setting up of complex medical experiments is not straight forward on current grid infrastructures. To ease such experiments we are developing a generic and grid-enabled workflow framework, relying on current standards. We show results on a concrete application to medical image registration assessment. We discuss the limitations induced by current standards and tools and how they were overcome for deploying the application.