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Grid-enabling medical image analysis

Abstract : 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.
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Contributor : Jean-Marie Moureaux <>
Submitted on : Monday, August 13, 2007 - 9:51:13 PM
Last modification on : Wednesday, July 8, 2020 - 12:42:08 PM
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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⟩



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