medigrid project, datagrid fr meeting, april 18, 2002, johan montagnat, wp10 aci grid 2002 medigrid:...
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
ACI GRID 2002MEDIGRID: high performance
medical image processing on a computational grid(accepted 3 years project)
CREATIS (INSA Lyon)
J. Montagnat
LISI (INSA Lyon)
L. Brunie
ERIC (University Lyon 2)
S. Miguet
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Purposes
Medical image storage and processing on the grid Structured data
Strong semantic (distributed medical files)
Sensitive (security issues)
Process complex algorithms with large computing power and memory requirements
parallel processing
Handle very large data sets distributed storage
massive distributed processing
Context: datagrid testbed.
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Scientific challenges
Shared and distributed data management data hierarchy, dynamic indices, optimization, caching
Hybrid content-based and metadata queries content-based queries, pre-processing, distributed queries
Complex modeling of anatomical structures anatomical and functional models, parallelisation
Simulation of MRIs MRI modeling, artifacts modeling, parallel simulation
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Data and users
Medical Data Images and metadata
Nominative (critical) and non-nominative (private) data
DICOM3 for medical images
Users Patient: has free access to its medical data.
Physician: has complete read access to its patients data. Few persons have read/write access.
Researchers: may obtain read access to anonymous medical data for research purposes. Nominative data should be blanked before transmission to these users.
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Data management requirements Medical data requirements
Very large databases (Tb/year/hospital) and very long term storage (20 years for all images, up to 70 years in some cases)
Large amount of metadata
Access right on a medical department basis
Log data processing
Security related requirements Data access security (Read-only access for most users, access right on a
medical department basis, no read access to private data by any third party including system administrators)
Explicit control of sites where private data may be replicated
Nominative metadata should be stored in secure databases
Images should not be replicated outside hospital without blanking headers
Images content should be encrypted
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Data infrastructure testbed
4 image sources: Acquired from Lyon cardiological hospital
Bone structure database from ESRF Grenoble
Mammographies from the DDSM
Simulated images
DLTHeartMRI
CardiologicalhospitalINSA Bone
Simulated MRI University
Lyon 2Breastimages
EDGLocalcluster
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Foreseen medical data infrastructure
Split nominative and anonymous data to allow data replication on unsecured sites.
Untrusted data serverswith blanked images
jE
Authenticationand
Authorization Metadatainterface
SE-DICOMinterface
Confidentialdata
Non-confidentialdata
Headerblanking
hospital
SEDICOMServer
SE
EuropeanDataGrid
qmsg/shm
LAN
WAN
SE Interface
jE/SE Interface
hdS
jE User Interface
jE Dicon Client
jE Dicon Server
spitfire
security (GSI) jE Cache
hdS
OK
phase 1
phase 2
jE Spitfire Int
ATF April 8, 2002, H. Duque, WP10
Interaction with DataGrid middleware
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Applications
Image database importation Pre-processing of images for database indexing
Data distribution
Hybrid content-based and metadata queries Triggering parallel processing, distributed queries, DICOM server
interface
pipeline processing
MRI simulation parallel simulation kernel
Heart segmentation from MRI sequences heart modeling, parallel job execution
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Application example: Metadata query and image processing
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Schedule year 1
setting up databases
statistical parameters computation
image indexing
spitfire-based security
MRI simulator
grid interface to DICOM servers
year 2 interface with datagrid / remote processing
distributed data management
spitfire extensions
content-based and metadata queries
pipeline processing
MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10
Schedule
year 3
distributed data management
biomedical modeling
mammography studies
cardiac studies
first medical assessment