Joint @NeurIST - NeuroLOG workshop Introduction C. Barillot May 18, 2010
Dec 19, 2015
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
@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)
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