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Joint @NeurIST - NeuroLOG workshop Introduction. C. Barillot May 18, 2010. Projects Motivations. NeuroLog Computational science & major challenge for this century population aging brain disorders growth brain function understanding … Data intensive: medical image databases,
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Joint @NeurIST - NeuroLOG workshopIntroduction C. Barillot May 18, 2010
Projects Motivations • NeuroLog • Computational science & major challenge for this century • population aging • brain disorders growth • brain function understanding • … • Data intensive: • medical image databases, • statistical studies • Heterogeneous, semi-structured, sensitive data sets. • Complex data analysis procedures. • Compute intensive. • @NeurIST • To understand from the biomechanical point of view • aneurysm genesis • aneurysm growth • aneurysm rupture • To assess the • risk of aneurysm rupture • risk of aneurysm treatment • To select, when required, the best treatment for each patient, preventing aneurysm growth and rupture • Coiling • Coiling and stent • Flow diverters
Applications • NeuroLOG • Multiple sclerosis • Early diagnosis • Evolution prediction • Brain stroke • Lesions volume variations • anatomo-functional relation • Dementia • Commonalities • Data sets: MR modalities, brain anatomy & functions • Processings & procedures: Registration, normalization, skull stripping, tissues classification. • @NeurIST • Brainaneurisms • Data: • Genomics • Imaging (MRI, CTA, 3D DSA) • Clinics • Biomechanics
Shared issues • Connect to Brain Image Data Bases • Integration of heterogeneous and distributed data • Semantic mediation • Ontology for information modeling • Image processing workflow • Grid invocation • Derived Data Bases
@NeurIST infrastructure @neuRisk Improve decision making processes @neuEndo Computational design processes to treat ruptured aneurysms Support Tools @neurIST Systems @neuLink knowledge discovery for linking genetics to disease, @neuFuse integration of modeling, simulation and visualization of multimodal data Enabling IT @neuCompute/Info integration of data and computing resources
@neurIST Architecture & Middleware • Architectural Overview • Service-Oriented Architecture • Compute & Data Services • Grid & Web Services • Grid Middleware • Decoupling of application suites from resources • On-demand computing • Data mediation • Semantic technologies
Projects Numbers • NeuroLOG • Project Duration: 45m • Budget: ~1M€ • #teams involved: 9 • #people involved: ~30 • @NeurIST • Project Duration: 51m • Budget: ~18M€ • #teams involved: 30 • #people involved: 200+
NeuroLOG Partners • 7 academic partners • I3S, IRISA, GIN, MIS, IFR49, INRIA Sophia, LRI • 2 companies - SAP, Visioscopie • Collaborating hosiptals • Pitié Salpétrière (Paris) • Michalon (Grenoble) • CHU Rennes • Antoine Lacassagne (Nice) LARIA (U. Picardie/CNRS) Amiens Paris Rennes LRI (Paris XI/CNRS) IFR 49 (INSERM) IRISA (INRIA/CNRS) Business Objects IRISA (INRIA/CNRS) INSERM U836 Grenoble Visioscopie Nice - Sophia Antipolis I3S UNSA/CNRS software technologies INRIA Sophia databases and knowledge medical imaging
Workshop Program • Objective of the day: • Introduce both projects • Identify common interests • Share experience • Compare adopted approaches • 13:30 Semantic Modeling of data • Neurolog: B. Gibaud, G. Kassel (15') • @Neurist: Jesús Bisbal, Martin Boeker (20') • discussion (25') • 14:30 Suites and clients • Neurolog: A. Gaignard, J. Montagnat (15') • @Neurist C. Ebeling ? (15') • discussion (30') • 15:30 Applications • Neurolog: M. Dojat (15') • @neurist: Christian Ebeling (15') • discussion (30') • 16:30 Discussions and wrap up • 17:30 Meeting closed • 10:00 Introduction (C. Barillot) • 10:20 Summary of the projects and overall set up of the platform • Neurolog: J. Montagnat (20') • @Neurist: Gerhard Engelbrecht (20') • 11:00 Databases mediation • Neurolog: F. Michel (15') • @Neurist: C. Ebeling, S. Benkner (30') • discussion (30') • 12:15 Lunch