Medical image analysis on grids

Cécile Germain-Renaud; Vincent Breton; Patrick Clarysse; Yann Gaudeau; Tristan Glatard; Emmanuel Jeannot; Yannick Legré; Charles Loomis; Isabelle Magnin; Johan Montagnat; Jean-Marie Moureaux; Angel Osorio; Xavier Pennec; Romain Texier

inria-00174284, version 1

Medical image analysis on grids

Cécile Germain-Renaud () ¹, Vincent Breton ², Patrick Clarysse ³, Yann Gaudeau ⁴, Tristan Glatard ⁵, Emmanuel Jeannot ⁶, Yannick Legré ², Charles Loomis ⁷, Isabelle Magnin ³, Johan Montagnat ⁵, Jean-Marie Moureaux ⁴, Angel Osorio ⁸, Xavier Pennec (), Romain Texier ¹

International Journal of Clinical Monitoring and Computing 19, 4-5 (2005) 339-349

Résumé : 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.

1 : Laboratoire de Recherche en Informatique (LRI)
CNRS : UMR8623 – Université Paris XI - Paris Sud
2 : Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC-CLERMONT)
CNRS : UMR6533 – IN2P3 – Université Blaise Pascal - Clermont-Ferrand II
3 : Centre de recherche et d'applications en traitement de l'image et du signal (CREATIS)
INSERM : U630 – Université Claude Bernard - Lyon I – Institut National des Sciences Appliquées (INSA) - Lyon – École Supérieure Chimie Physique Électronique de Lyon – CNRS : UMR5515
4 : Centre de recherche en automatique de Nancy (CRAN)
CNRS : UMR7039 – Université Henri Poincaré - Nancy I – Institut National Polytechnique de Lorraine (INPL)
5 : Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S)
Université Nice Sophia Antipolis [UNS] – CNRS : UMR7271
6 : ALGORILLE (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
7 : Laboratoire de l'Accélérateur Linéaire (LAL)
CNRS : UMR8607 – IN2P3 – Université Paris XI - Paris Sud
8 : ASCLEPIOS (INRIA Sophia Antipolis)
INRIA

inria-00174284, version 1
http://hal.inria.fr/inria-00174284
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Contributeur : Cecile Germain-Renaud <>
Soumis le : Samedi 22 Septembre 2007, 23:27:02
Dernière modification le : Vendredi 3 Décembre 2010, 10:12:22

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DOI : 10.1007/s10877-005-0679-9

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%% inria-00174284, version 1
%% http://hal.inria.fr/inria-00174284
@article{germainrenaud:inria-00174284,
    hal_id = {inria-00174284},
    url = {http://hal.inria.fr/inria-00174284},
    title = {{Medical image analysis on grids}},
    author = {Germain-Renaud, C{\'e}cile and Breton, Vincent and Clarysse, Patrick and Gaudeau, Yann and Glatard, Tristan and Jeannot, Emmanuel and Legr{\'e}, Yannick and Loomis, Charles and Magnin, Isabelle and Montagnat, Johan and Moureaux, Jean-Marie and Osorio, Angel and Pennec, Xavier and Texier, Romain},
    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.}},
    language = {Anglais},
    affiliation = {Laboratoire de Recherche en Informatique - LRI , Laboratoire de Physique Corpusculaire de Clermont-Ferrand - LPC-CLERMONT , Centre de recherche et d'applications en traitement de l'image et du signal - CREATIS , Centre de recherche en automatique de Nancy - CRAN , Laboratoire d'Informatique, Signaux, et Syst{\`e}mes de Sophia-Antipolis - I3S , ALGORILLE - INRIA Lorraine - LORIA , Laboratoire de l'Acc{\'e}l{\'e}rateur Lin{\'e}aire - LAL , ASCLEPIOS - INRIA Sophia Antipolis},
    publisher = {Kluwer},
    pages = {339-349},
    journal = {International Journal of Clinical Monitoring and Computing},
    volume = {19},
    number = {4-5 },
    audience = {internationale },
    doi = {10.1007/s10877-005-0679-9 },
    year = {2005},
    pdf = {http://hal.inria.fr/inria-00174284/PDF/AGIRJCMCALL.PDF},
}

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