A Virtual Imaging Platform for Multi-Modality Medical Image Simulation

• Published in: IEEE transactions on medical imaging 2013-01, Vol.32 (1), p.110-118
• Main Authors: Glatard, T., Lartizien, C., Gibaud, B., Ferreira da Silva, Rafael, Forestier, G., Cervenansky, F., Alessandrini, M., Benoit-Cattin, H., Bernard, O., Camarasu-Pop, S., Cerezo, N., Clarysse, P., Gaignard, A., Hugonnard, P., Liebgott, H., Marache, S., Marion, A., Montagnat, J., Tabary, J., Friboulet, D.
• Format: Article
• Language: English
• Subjects: Bioengineering; Biological system modeling; Computational modeling; Computer Simulation; Data models; Database Management Systems; Databases, Factual; Diagnostic Imaging - methods; Distributed computing infrastructures; Humans; Image Processing, Computer-Assisted - methods; Image reconstruction; Life Sciences; Magnetic resonance imaging; medical image simulation; Medical Informatics Applications; Models, Biological; Ontologies; ontology; Reproducibility of Results; Software; workflows
• ISSN: 0278-0062; 1558-254X
• DOI: 10.1109/TMI.2012.2220154

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 workίow 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.