Grid-enabling medical image analysis

C. Germain, V. Breton, P. Clarysse, Y. Gaudeau, T. Glatard, E. Jeannot, Y. Legre, C. Loomis, J. Montagnat, J.-M. Moureaux, A. Osorio, X. Pennec (+1 others)
2005 CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005.  
Grids have emerged as a promising technology to handle the data and compute intensive requirements of many application areas. Digital medical image processing is a promising application area for grids. Given the volume of data, the sensitivity of medical information, and the joint complexity of medical datasets and computations expected in clinical practice, the challenge is to fill the gap between the grid middleware and the requirements of clinical applications. The research project AGIR
more » ... Analysis of Radiological Data) presented in this paper addresses this challenge through a combined approach: on one hand, leveraging the grid middleware through core grid medical services which target the requirements of medical data processing applications; on the other hand, grid-enabling a panel of applications ranging from algorithmic research to clinical applications.
doi:10.1109/ccgrid.2005.1558593 dblp:conf/ccgrid/GermainBCGGJLLMMOPT05 fatcat:qzmpszc4rbgxrikmpng5ajqlfi