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