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VL-e Workshop, 7 April 2006
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Developments and Activities
in VL-e Medical
Sílvia D. Olabarriaga
Informatics Institute, UvA
[email protected]
Overview
• Introduction
• Activities and Status
• Concluding Remarks
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Introduction
• Goal of VL-e Medical
 Problem-Solving Environment (PSE)
for Medical Imaging Applications (MIA)
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Medical Imaging Workflow
CT scanner
MR scanner
Database
PACS
Radiology
Research
Examination/Viewing
Patient
Records
Hospital
Clinical / Research
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MIA: Some Problems
• Data Storage
 Large capacity, long-term
• Data Analysis
 Computation capacity (latency, throughput)
 Software interoperability
• Data Access
 Remote access (dispersed organizations)
 Controlled access (multiple users)
 Security (patient data privacy)
• Data Logistics and Management
 Heterogeneous and dispersed systems
 Workflow integration and automation
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VL-e Medical: Goals
• Provide shared access to high performance
computation resources
 Reduce latency
 Increase throughput
 Large storage capacity
• Facilitate data logistics and management
• Facilitate user collaboration
• Facilitate remote and shared access to data
… for advanced clinical and research applications
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Overview
• Introduction
• Activities and Status
• Concluding Remarks
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VL-e Medical: Activities
• Analysis




DTI fiber tracking
MEG data analysis
SPECT simulation
DTI-based population studies
• Interactive visualization of brain images
• Workflow
 Integration and automation
 Rapid prototyping (SP2.3)
• Virtual lab for fMRI
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MEG Functional Imaging
Magneto
Encephalography
System (MEG)
MEG signals
courtesy CTF MEG Systems
Analysis tool for MEG data
courtesy VUMC MEG Centrum
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MEG Data Analysis
• Problem
 Locating the sources of brain activation is
computation intensive (fit data to model)
• Approach
 Optimized and parallel model fitting algorithm
 IBIS
 DAS-2 cluster
• Status
 More robust model fitting is feasible
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DTI-based
Population Studies
MR scanner
DTI scan
Eigenvalues
Fractional Anisotropy
Direction
Courtesy of the AMC and TU Delft, Matthan Caan
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DTI-based
Population Studies
• Problem
 New techniques to discriminate populations
 Image analysis is computation-intensive
• Approach
 Use pattern classification techniques
 Use parallel processing for throughput
• Status
 Successful characterization of schizophrenic
patients vs. controls
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Interactive Visualization
of Brain Images
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Interactive Visualization
of Brain Images
• Problem
 Intuitive Interaction
with 3D data
 Visualization of 3D data
is computationintensive
• Approach
 Collocated visualization
of brain imaging data
 Rendering performed
remotely
• Results
 Interactive high-end
visualization is possible
on low-end machine
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Application Development
• Problem
 Rapid prototyping of interactive applications
(analysis, visualization)
• Approach
 Visual programming, component-based
 DeVIDE = The Delft Visualization and Image
Processing Development Environment
• Results
 Successfully used for several applications (e.g.,
planning of shoulder surgery)
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DeVIDE
Courtesy of the TU Delft, Charl Botha
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Functional MRI Studies
MR scanner
MR scanner
fMRI scan
fMRI scan
Brain activation maps
Brain activation maps
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Virtual Lab for fMRI
• Problem
 Population studies: multiple centers,
multiple users, many data instances
• Approach
 Use VL-e PoC resources: SRB, EDG
 Tools to facilitate data acquisition,
storage, analysis, shared access and
logistics
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Virtual Lab for fMRI
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Overview
• Introduction
• Activities and Status
• Concluding Remarks
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VL-e Medical: Goals x Status
• Provide access to high performance
computation resources
 Reduce latency
 Increase throughput
 Large storage capacity
• Facilitate data logistics and management
• Facilitate user collaboration
• Facilitate remote and shared access to data
… for advanced clinical and research applications
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Concluding Remarks
• Application perspective:
 Several pilot applications illustrate the
benefit of using grid technology
 Benefit for the end user still has to be
shown!
• IT perspective:
 Limited use of the VL-e PoC so far
 Integration (software, people) is tough..
 fMRI use case has been a positive
experience
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Thanks to…
• Jeroen Snel, Aart Nederveen, Matthan Caan,
Charles Majoie, Kees Grimbergen, Ard den Heeten,
Frans Vos, Erik Akkerman
• Rob Belleman, Michael Scarpa, Adam Belloum,
Paul van de Hooft, Piter de Boer, Hakan Yakali,
Herzberger
Bob
• Charl Botha, Jorik Blaas, Frits Post
• Anca Bucur, Henk Obbink, Rene Koostra, Jasper van
Leeuwen, Ronald van Driel, Frank Hoogenraad
• Bob van Dijk, Keith Cover
• Maurice Bouwhuis, Bart Heupers
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