Grid for Medical Imaging
Dr. Goutham Edula
AstraZeneca R&D
Lund, Sweden
//Grid for Medical Imaging{Goutham Edula}
We are ….
– A global organisation
– Focused on R&D in drug discovery & development
– Collaborating actively with academia & industry
– Willing to adopt technology to enable science
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//Grid for Medical Imaging{Goutham Edula}
Our interest…
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Imaging
– Non-invasive
– Correlation with the phenotype
– Applied to
– Disease segmentation
– Disease progression
– Biomarker identification/validation
–
Applied research in Imaging for
– Methodology development
– Reproducibility studies
– Correlation with phenotype
– Ex: Histopathology, Clinical, Functional
– Validation approaches
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//Grid for Medical Imaging{Goutham Edula}
The scenario …
–
–
Heterogeneous platforms
–
Distributed activity
–
–
Winx
–
Unix
–
Linux
–
SGI
–
Java …
Internal (across sites)
– Image centres
– External
– Academic/ Industry
Specialized software tools
collaborators
– CROs
–
Different image modalities
–Visual C++
–
MRI
–IDL
–
CT
–Matlab …
–
Scintigraphy ..
Imaging in Animal studies, Healthy volunteers, Patients
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//Grid for Medical Imaging{Goutham Edula}
Why Grid ?
Challenges
–
Vertical/niche solutions
–
Complex workflows and
processes
Grid opportunities
–
Application integration by
services
–
Efficient workflow
management
–
Multi-vendor solutions
–
Distributed activity and
–
Platform-robust systems
resources
–
Transparent resource
identification
–
Massive data volumes
–
Large computational
–
Federation of data
requirements
–
Higher compute power
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//Grid for Medical Imaging{Goutham Edula}
But…
–
Regulatory compliance
–
Intellectual property
–
Licensing issues
–
Security policies
–
Quality control
–
Standardization
–
Cost models
–
Standards
–
Data replication & archiving
–
Resource allocation
–
Middleware
–
Data Integration
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//Grid for Medical Imaging{Goutham Edula}
Data Grid approach
Replication
Considerations
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High data availability
–
Replication models
–
Low network load
–
Scalability
–
Higher fault tolerance
–
Performance monitoring
–
Increased scalability
–
Data compression
Options
– Globus ToolKit ?
– GridFTP
– Replica Catalog
– Grid SRB
– Performance and cost monitoring ?
– Scalability measures ?
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//Grid for Medical Imaging{Goutham Edula}
Compute Grid approach
Compute power
Considerations
–
Image Segmentation
–
Resource identification
–
Collaboration tools
–
Scheduling & Job control
–
Enhanced resource usage
–
Component communication
–
Efficient Image analysis
–
Applications
Options
– Globus ToolKit ?
– GRAM
– GSI
– Login and access control ?
– Auditing and Logging ?
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//Grid for Medical Imaging{Goutham Edula}
Service Grid approach
Service approach
Considerations
–
Resource discovery
–
Support for data structures
–
Extensible framework
–
Application interfaces
–
Workflow implementation
–
Platform independence
–
Fine-grained application control
–
Process/workflow definition
Options
– Globus ToolKit ?
– OGSA
–GSI delegation
– WSDL, XML, SOAP …
– Workflow definition ?
– Application component control ?
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//Grid for Medical Imaging{Goutham Edula}
My bookmarks
–
e-Science Grid projects
–
MR Image Simulation @ CREATIS
– Medical data & metadata management
–
Mammography analysis @ ERIC/LYON
–
Simulation platform for PET/SPECT based
on Geant4 @ GATE
–
……
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//Grid for Medical Imaging{Goutham Edula}
Message
–
Interest in grid approach for
– collaboration in imaging projects
– academic collaborations
– resource sharing
– service components
– transparency
–
Looking into
– Data replication
– Middlewear
– Workflow management
– Process integration
– Application design
– Semantics
:. goutham.edula@astrazeneca.com .:
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