HAL - INRIA :: [hal-00166971, version 1] Grid-enabling medical image analysis

hal-00166971, version 1

Grid-enabling medical image analysis

Cécile Germain ¹, Vincent Breton ², Patrick Clarysse ³, Yann Gaudeau ⁴, Tristan Glatard ³, Emmanuel Jeannot ⁵, Yannick Legré ¹, Charles Loomis ⁶, Johan Montagnat ⁷, Jean-Marie Moureaux ⁴, Angel Osorio ⁸, Xavier Pennec () ⁹, Romain Texier ¹

Cluster Computing and Grid 2005 (CCGrid05) Bio-Medical Computations on the Grid (Bio-Grid) 19 (2005) 339-349

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.

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 de 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: ALGORILLE (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
6: Laboratoire de l'Accélérateur Linéaire (LAL)
CNRS : UMR8607 – IN2P3 – Université Paris XI - Paris Sud
7: Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S)
Université de Nice Sophia Antipolis (UNS) – CNRS : UMR7271
8: Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI)
CNRS : UPR3251 – Université Paris VI - Pierre et Marie Curie – Université Paris XI - Paris Sud
9: EPIDAURE (INRIA Sophia Antipolis)
INRIA

Collaboration : AGIR - Grid'5000

hal-00166971, version 1
http://hal.archives-ouvertes.fr/hal-00166971
oai:hal.archives-ouvertes.fr:hal-00166971
From: Jean-Marie Moureaux <>
Submitted on: Monday, 13 August 2007 21:51:13
Updated on: Tuesday, 24 April 2012 09:22:43

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DOI: 10.1007/s10877-005-0679-9

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%% hal-00166971, version 1
%% http://hal.archives-ouvertes.fr/hal-00166971
@inproceedings{GERMAIN-2005-166971,
    hal_id = {hal-00166971},
    url = {http://hal.archives-ouvertes.fr/hal-00166971},
    title = {{Grid-enabling medical image analysis}},
    author = {Germain, 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 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.}},
    keywords = {Grid computing; medical image analysis},
    language = {English},
    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 , ALGORILLE - INRIA Lorraine - LORIA , Laboratoire de l'Acc{\'e}l{\'e}rateur Lin{\'e}aire - LAL , Laboratoire d'Informatique, Signaux, et Syst{\`e}mes de Sophia-Antipolis - I3S , Laboratoire d'Informatique pour la M{\'e}canique et les Sciences de l'Ing{\'e}nieur - LIMSI , EPIDAURE - INRIA Sophia Antipolis},
    booktitle = {{Journal of Clinical Monitoring and Computing}},
    publisher = {Springer Netherlands},
    pages = {339-349},
    address = {Cardiff, United Kingdom},
    volume = {19},
    number = {4/5 },
    audience = {international },
    collaboration = {AGIR - Grid'5000 },
    doi = {10.1007/s10877-005-0679-9 },
    year = {2005},
    month = Dec,
    pdf = {http://hal.archives-ouvertes.fr/hal-00166971/PDF/agirBiogrid3.pdf},
}

%F hal-00166971, version 1
%0 Conference Proceedings
%U http://hal.archives-ouvertes.fr/hal-00166971
%2 SPI:AUTO;INFO:INFO_DC
%T Grid-enabling medical image analysis
%A Germain, Cécile
%A Breton, Vincent
%A Clarysse, Patrick
%A Gaudeau, Yann
%A Glatard, Tristan
%A Jeannot, Emmanuel
%A Legré, Yannick
%A Loomis, Charles
%A Montagnat, Johan
%A Moureaux, Jean-Marie
%A Osorio, Angel
%A Pennec, Xavier
%A Texier, Romain
%+ 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 , ALGORILLE - INRIA Lorraine - LORIA , Laboratoire de l'Accélérateur Linéaire - LAL , Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis - I3S , Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur - LIMSI , EPIDAURE - INRIA Sophia Antipolis
%Z IRIS
%X 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.
%G English
%R 10.1007/s10877-005-0679-9
%B Journal of Clinical Monitoring and Computing
%2 international
%8 2005-12-03
%V 19
%N 4/5
%P 339-349
%I Springer Netherlands
%B Cluster Computing and Grid 2005 (CCGrid05) Bio-Medical Computations on the Grid (Bio-Grid)
%8 2005-05-09
%2 Cardiff
%2 United Kingdom
%K Grid computing; medical image analysis
%Z AGIR - Grid'5000

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<orgName type="institution">Université Paris XI - Paris Sud</orgName>
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<orgName type="institution">Université de Nice Sophia Antipolis (UNS)</orgName>
<orgName type="institution">CNRS : UMR7271</orgName>
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<country>FR</country>
<orgName type="institution">CNRS : UPR3251</orgName>
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<orgName type="institution">Université Paris XI - Paris Sud</orgName>
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