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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 ACI GRID 2002 MEDIGRID: 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
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Purposes u Medical image storage and processing on the grid n Structured data n Strong semantic (distributed medical files) n Sensitive (security issues) u Process complex algorithms with large computing power and memory requirements n parallel processing u Handle very large data sets n distributed storage n massive distributed processing u Context: datagrid testbed.
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Scientific challenges u Shared and distributed data management n data hierarchy, dynamic indices, optimization, caching u Hybrid content-based and metadata queries n content-based queries, pre-processing, distributed queries u Complex modeling of anatomical structures n anatomical and functional models, parallelisation u Simulation of MRIs n MRI modeling, artifacts modeling, parallel simulation
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Data and users u Medical Data n Images and metadata n Nominative (critical) and non-nominative (private) data n DICOM3 for medical images u Users n Patient: has free access to its medical data. n Physician: has complete read access to its patients data. Few persons have read/write access. n Researchers: may obtain read access to anonymous medical data for research purposes. Nominative data should be blanked before transmission to these users.
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Data management requirements u Medical data requirements n Very large databases (Tb/year/hospital) and very long term storage (20 years for all images, up to 70 years in some cases) n Large amount of metadata n Access right on a medical department basis n Log data processing u Security related requirements n 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) n Explicit control of sites where private data may be replicated n Nominative metadata should be stored in secure databases n Images should not be replicated outside hospital without blanking headers n Images content should be encrypted
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Data infrastructure testbed u 4 image sources: n Acquired from Lyon cardiological hospital n Bone structure database from ESRF Grenoble n Mammographies from the DDSM n Simulated images DLT Heart MRI Cardiological hospital INSABone Simulated MRI University Lyon 2 Breast images EDG Local cluster
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Foreseen medical data infrastructure u Split nominative and anonymous data to allow data replication on unsecured sites. Untrusted data servers with blanked images jE Authentication and Authorization Metadata interface SE-DICOM interface Confidential data Non-confidential data Header blanking hospital SE DICOM Server SE European DataGrid
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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
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Applications u Image database importation n Pre-processing of images for database indexing n Data distribution u Hybrid content-based and metadata queries n Triggering parallel processing, distributed queries, DICOM server interface n pipeline processing u MRI simulation n parallel simulation kernel u Heart segmentation from MRI sequences n heart modeling, parallel job execution
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Application example: Metadata query and image processing
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Schedule u year 1 n setting up databases n statistical parameters computation n image indexing n spitfire-based security n MRI simulator n grid interface to DICOM servers u year 2 n interface with datagrid / remote processing n distributed data management n spitfire extensions n content-based and metadata queries pipeline processing
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MEDIGRID project, DataGrid FR meeting, April 18, 2002, Johan Montagnat, WP10 Schedule u year 3 n distributed data management n biomedical modeling n mammography studies n cardiac studies n first medical assessment
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