Grid-enabling medical image analysis - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2005

Grid-enabling medical image analysis

Cécile Germain
Yann Gaudeau
  • Function : Author
  • PersonId : 757476
  • IdRef : 112706266
Emmanuel Jeannot
Yannick Legre
  • Function : Author
  • PersonId : 917638
Xavier Pennec


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 (Grid 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.
Fichier principal
Vignette du fichier
agirBiogrid3.pdf (1.07 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00166971 , version 1 (13-08-2007)



Cécile Germain, Vincent Breton, Patrick Clarysse, Yann Gaudeau, Tristan Glatard, et al.. Grid-enabling medical image analysis. Cluster Computing and Grid 2005 (CCGrid05) Bio-Medical Computations on the Grid (Bio-Grid), May 2005, Cardiff, United Kingdom. pp.339-349, ⟨10.1007/s10877-005-0679-9⟩. ⟨hal-00166971⟩
777 View
394 Download



Gmail Facebook X LinkedIn More