A virtual imaging platform for multi-modality medical image simulation.

Tristan Glatard; Carole Lartizien; Bernard Gibaud; Rafael Ferreira da Silva; Germain Forestier; Frederic Cervenansky; Martino Alessandrini; Hugues Benoit-Cattin; Olivier Bernard; Sorina Camarasu-Pop; Nadia Cerezo; Patrick Clarysse; Alban Gaignard; Patrick Hugonnard; Hervé Liebgott; Simon Marache-Francisco; Adrien Marion; Johan Montagnat; Joachim Tabary; Denis Friboulet

A virtual imaging platform for multi-modality medical image simulation.

Tristan Glatard ^{1, *} Carole Lartizien ¹ Bernard Gibaud ² Rafael Ferreira da Silva ¹ Germain Forestier ^{3, 2} Frederic Cervenansky ⁴ Martino Alessandrini ⁵ Hugues Benoit-Cattin ¹ Olivier Bernard ¹ Sorina Camarasu-Pop ^{4, 1} Nadia Cerezo ⁶ Patrick Clarysse ⁷ Alban Gaignard ⁶ Patrick Hugonnard ⁸ Hervé Liebgott ⁵ Simon Marache-Francisco ⁹ Adrien Marion ⁹ Johan Montagnat ⁶ Joachim Tabary ⁸ Denis Friboulet ¹

* Corresponding author

1 Images et Modèles

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

2 LTSI - Laboratoire Traitement du Signal et de l'Image

3 MIPS - Modélisation, Intelligence, Processus et Système

4 Service Informatique et développements

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

5 Imagerie Ultrasonore

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

6 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS

Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems

7 MOTIVATE - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé : 139739

8 CEA-LETI - Laboratoire d'Electronique et des Technologies de l'Information

9 CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

Abstract : This paper presents the Virtual Imaging Platform (VIP), a platform accessible at http://vip.creatis.insa-lyon.fr to facilitate the sharing of object models and medical image simulators, and to provide access to distributed computing and storage resources. A complete overview is presented, describing the ontologies designed to share models in a common repository, the workflow template used to integrate simulators, and the tools and strategies used to exploit computing and storage resources. Simulation results obtained in four image modalities and with different models show that VIP is versatile and robust enough to support large simulations. The platform currently has 200 registered users who consumed 33 years of CPU time in 2011.

Keywords : Medical image simulation ontology workflows distributed computing infrastructures

Document type :

Journal articles

Domain :

Life Sciences [q-bio] / Bioengineering

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https://www.hal.inserm.fr/inserm-00762497
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Submitted on : Friday, December 7, 2012 - 11:00:48 AM
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