1. Joint @NeurIST - NeuroLOG workshop Introduction C. Barillot May 18, 2010

2. 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. 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 @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

3. 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. 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 – Brain aneurisms – Data: – Genomics – Imaging (MRI, CTA, 3D DSA) – Clinics – Biomechanics @NeurIST – Brain aneurisms – Data: – Genomics – Imaging (MRI, CTA, 3D DSA) – Clinics – Biomechanics

4. Shared issues

5. 5 NeuroLOG Software architecture

6. @NeurIST infrastructure 6 @neuEndo @neuRisk  Improve decision making processes  Computational design processes to treat ruptured aneurysms  knowledge discovery for linking genetics to disease, @neurIST Systems  integration of modeling, simulation and visualization of multimodal data @neuCompute/Info  integration of data and computing resources @neuFuse Support Tools Enabling IT @neuLink

7. @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

8. Projects Numbers NeuroLOG – Project Duration: 45m – Budget: ~1M€ – #teams involved: 9 – #people involved: ~30 NeuroLOG – Project Duration: 45m – Budget: ~1M€ – #teams involved: 9 – #people involved: ~30 @NeurIST – Project Duration: 51m – Budget: ~18M€ – #teams involved: 30 – #people involved: 200+ @NeurIST – Project Duration: 51m – Budget: ~18M€ – #teams involved: 30 – #people involved: 200+

9. 9 NeuroLOG Partners LRI (Paris XI/CNRS) I3S UNSA/CNRS Visioscopie INRIA Sophia IRISA (INRIA/CNRS) INSERM U836 Business Objects LARIA (U. Picardie/CNRS) IFR 49 (INSERM) software technologies databases and knowledge medical imaging IRISA (INRIA/CNRS) Paris Rennes Grenoble Nice - Sophia Antipolis Amiens 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)

10. @neurIST Consortium 10

11. Workshop Program 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 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 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 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 Objective of the day: Introduce both projects Identify common interests Share experience Compare adopted approaches Objective of the day: Introduce both projects Identify common interests Share experience Compare adopted approaches