Processing and analyzing large medical image sets

Johan Montagnat 1
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe RAINBOW
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Medical images analysis today requires high end computing infrastructures to face the growing need for computing power and distributed medical data management. Medical applications increasingly require the federation of large data sets distributed over the image acquisition centers and their processing (e.g. for epidemiological studies, statistical construction of atlas, medical image analysis procedures validation...). We are interested in the use of production grids which represent affordable computing infrastructures, externalized for the non-specialized clinical centers. Furthermore, grids foster collaborative work by easing the sharing of data, processing, data analysis procedures, and so on. Exploiting grid infrastructures for medical data analysis require to fulfill specific requirements associated to medical image processing such as data protection, large data sets manipulation and easy set up of multiple data analysis procedures. In this defense, we will show how we came from medical image analysis procedures validation to the exploitation of grid infrastructures. We will analyze the needs related to this application area. The work we are doing to interface clinical storage with grid data management systems and to represent and efficiently process data-driven application workflows on a grid infrastructure will then be presented. Probabilistic modeling of the grid execution will be proposed and strategies to schedule and efficiently execute data-intensive workflows on a grid will be derived. Results will be shown on the Bronze Standard, an application to medical image registration algorithms assessment, exploiting both the EGEE production grid infrastructure and the Grid5000 National experimental grid.
Type de document :
HDR
Computer Science [cs]. Université Nice Sophia Antipolis, 2006
Liste complète des métadonnées

https://tel.archives-ouvertes.fr/tel-00460766
Contributeur : Diane Lingrand <>
Soumis le : mardi 2 mars 2010 - 12:42:46
Dernière modification le : lundi 23 avril 2012 - 16:48:46
Document(s) archivé(s) le : jeudi 18 octobre 2012 - 16:21:31

Fichier

HDR_Montagnat.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : tel-00460766, version 1

Collections

Citation

Johan Montagnat. Processing and analyzing large medical image sets. Computer Science [cs]. Université Nice Sophia Antipolis, 2006. 〈tel-00460766〉

Partager

Métriques

Consultations de
la notice

390

Téléchargements du document

652