Joint @NeurIST - NeuroLOG workshop

Introduction

C. BarillotMay 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.

• 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

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

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

• 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

5

NeuroLOG Software architecture

@NeurIST infrastructure

6

@neuEndo

@neuRisk@neuRisk Improve decision making processes

Computational design processes to treat ruptured aneurysms

knowledge discovery for linking genetics to disease,

@neurISTSystems

WSS

3DRA

CFDCFD

PC-MR vs USFlow rates

CFD vs USPeak velocity

Model& WSS

magnitude phasemagnitude phase

integration of modeling, simulation and visualization of multimodal data

@neuCompute/Info@neuCompute/Info integration of data and computing resources

@neuFuse

Supp

ort T

ools

Enab

ling

IT

@neuLink@neuLink

@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 Storage Resources

Information Systems

FilesDatabases

Compute Resources

AnalysisSimulationModeling

Interoperable Grid Layer

Data MediationData AccessData TransferJob Execution

@neuInfo ServicesDistributed and heterogeneous data access

@neuCompute ServicesComputing and data transport services

Ap

plic

ati

on

sM

idd

lew

are

Re

so

urc

es

Semantic Technologies

@neuClient

@neuFuseMultimodal data

processing & fusion

@neuEndoVirtual

endovascular treatment planning

@neuLinkLinking genetics to

disease

@neuRiskIntegrative rupture

risk assesment

Authentication and Access Control

SECURITY

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

NeuroLOG Partners

LRI (Paris XI/CNRS)LRI (Paris XI/CNRS)

I3S UNSA/CNRSI3S UNSA/CNRS

VisioscopieVisioscopie

INRIA SophiaINRIA Sophia

IRISA (INRIA/CNRS)IRISA (INRIA/CNRS)

INSERM U836INSERM U836

Business ObjectsBusiness Objects

LARIA (U. Picardie/CNRS)LARIA (U. Picardie/CNRS)

IFR 49 (INSERM)IFR 49 (INSERM)

software technologiessoftware technologiesdatabases anddatabases and

knowledgeknowledgemedical imagingmedical imaging

IRISA (INRIA/CNRS)IRISA (INRIA/CNRS)

ParisParisRennesRennes

GrenobleGrenoble

Nice - Sophia AntipolisNice - Sophia Antipolis

AmiensAmiens

• 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)

@neurIST Consortium

10

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