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HealthGrid'03, Lyon : France (2003)
Medical Image Content-Based Queries using the Grid
Johan Montagnat1, Hector Duque2, Jean-Marc Pierson3, Vincent BRETON4, Lionel Brunie5, Isabelle Magnin2

Computation and data grids have encountered a large success among the scientific computing community in the past few years. The medical imaging community is increasingly aware of the potential benefit of these technologies in facing today medical image analysis challenges. In this paper, we report on a first experiment in deploying a medical application on a large scale grid testbed. Our pilot application is a hybrid metadata and image content-based query system that manipulates a large data set and for which image analysis computation can be easily parallelized on several grid nodes. We analyze the performances of this algorithm and the benefit brought by the grid. We further discuss possible improvements and future trends in porting medical applications to grid infrastructures.
1 :  Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
2 :  CREATIS - Centre de recherche en applications et traitement de l'image pour la santé
3 :  IRIT - Institut de recherche en informatique de Toulouse
4 :  LPC - Laboratoire de Physique Corpusculaire [Clermont-Ferrand]
5 :  LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Equipe PCSV
Informatique/Calcul parallèle, distribué et partagé
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HealthGrid03.pdf(464.5 KB)