Event Abstract

Interoperability between the CBRAIN and VIP web platforms for neuroimage analysis

  • 1 McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Canada
  • 2 University of Lyon, CNRS, INSERM, CREATIS, France

Accessing substantial amounts of computing resources is required by several neuroimaging studies. CBRAIN (Sherif et al, 2014) and VIP ─ Virtual Imaging Platform (Glatard et al, 2013) ─ are two web portals offering access respectively to the Canadian and European Grid Infrastructures for neuroimage analysis. They provide services to launch and monitor experiments with state-of-the-art neuroimaging tools (e.g., FSL, Freesurfer and CIVET), and to trigger the required data movements accordingly. We are developing mechanisms to facilitate the interoperability between these portals, which would help users share and access larger data sets, access more computing resources, and access richer application catalogs. In this work, we describe our solutions to (i) harmonize authentication (ii) exchange data files (iii) share computing resources (iv) exchange applications between CBRAIN and VIP. We enabled single sign-on authentication to CBRAIN and VIP using Mozilla Persona, a secure, easy-to-implement, easy-to-use system respecting users' privacy. As a result, users can log-in to both VIP and CBRAIN using their email address only. Data sharing was enabled by developing synchronization robots between the Canadian and European infrastructures. With these robots, large data sets can be exchanged asynchronously between European and Canadian infrastructures, masking most of the transfer times. Regarding resource sharing, we are interfacing CBRAIN with the DIRAC task scheduler (Tsaregorodtsev et al, 2009) so that computing resources of the European Grid Infrastructure can be leveraged in CBRAIN. Exchanging applications is more ambitious due to the difficulty to automatically deploy neuroimaging applications on heterogeneous computing systems, and due to potential reproducibility issues resulting from such cross-system deployments (Gronenschild et al, 2012). To address these issues, we are developing an architecture based on the deployment of virtual machines on clusters, grids and clouds. Our prototype (Glatard et al, 2014) implemented in CBRAIN allows to register applications in virtual disk images, to run analyses with specific disk images, to deploy VMs uniformly and automatically on clusters and clouds, and to control the performance-cost trade-off associated to the deployment.


1. Sherif T, Rioux P, Rousseau M-E, et al. CBRAIN: A web-based, distributed computing platform for collaborative neuroimaging research. Front Neurosci. 2014 (under review).
2. Glatard T, Lartizien C, Gibaud B, et al. A Virtual Imaging Platform for multi-modality medical image simulation. IEEE Trans Med Imaging. 2013;32(1):110–118. doi:10.1109/TMI.2012.2220154.
3. Tsaregorodtsev A, Brook N, Ramo AC, et al. DIRAC3. The New Generation of the LHCb Grid Software. J Phys Conf Ser. 2009;219(6):62029.
4. Gronenschild EHBM, Habets P, Jacobs HIL, et al. The effects of FreeSurfer version, workstation type, and Macintosh operating system version on anatomical volume and cortical thickness measurements. Hayasaka S, ed. PLoS One. 2012;7(6):e38234. doi:10.1371/journal.pone.0038234.
5. Glatard T, Rousseau M-E, Rioux P, Adalat R, Evans A-C. Controlling the deployment of virtual machines on clusters and clouds for scientific computing in CBRAIN, Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Chicago, May 2014 (to appear).

Keywords: interoperability, CBRAIN, VIP, authentication, data sharing, application sharing

Conference: Neuroinformatics 2014, Leiden, Netherlands, 25 Aug - 27 Aug, 2014.

Presentation Type: Poster, to be considered for oral presentation

Topic: Infrastructural and portal services

Citation: Glatard T, Rousseau M, Camarasu-Pop S, Rioux P, Sherif T, Beck N, Adalat R and Evans AC (2014). Interoperability between the CBRAIN and VIP web platforms for neuroimage analysis. Front. Neuroinform. Conference Abstract: Neuroinformatics 2014. doi: 10.3389/conf.fninf.2014.18.00070

Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.

The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.

Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.

For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.

Received: 28 Apr 2014; Published Online: 04 Jun 2014.

* Correspondence: Dr. Tristan Glatard, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada, tristan.glatard@concordia.ca