A virtual imaging platform for multi-modality medical image simulation

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

Research output: Contribution to journalArticlepeer-review

86 Scopus citations

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.

Original languageEnglish
Article number6310064
Pages (from-to)110-118
Number of pages9
JournalIEEE Transactions on Medical Imaging
Volume32
Issue number1
DOIs
StatePublished - 2013
Externally publishedYes

Funding

FundersFunder number
Seventh Framework Programme261323

    Keywords

    • Distributed computing infrastructures
    • medical image simulation
    • ontology
    • workflows

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