VL-e Workshop, 7 April 20061. Developments and Activities in VL-e Medical Sílvia D. Olabarriaga Informatics Institute, UvA

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Presentation transcript:

VL-e Workshop, 7 April 20061

Developments and Activities in VL-e Medical Sílvia D. Olabarriaga Informatics Institute, UvA

VL-e Workshop, 7 April Overview Introduction Activities and Status Concluding Remarks

VL-e Workshop, 7 April Introduction Goal of VL-e Medical  Problem-Solving Environment (PSE) for Medical Imaging Applications (MIA)

VL-e Workshop, 7 April Medical Imaging Workflow MR scanner Radiology Examination/Viewing CT scanner PACS Research Database Hospital Patient Records Clinical / Research

VL-e Workshop, 7 April 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

VL-e Workshop, 7 April 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

VL-e Workshop, 7 April Overview Introduction Activities and Status Concluding Remarks

VL-e Workshop, 7 April 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

VL-e Workshop, 7 April MEG Functional Imaging Magneto Encephalography System (MEG) courtesy CTF MEG Systems Analysis tool for MEG data courtesy VUMC MEG Centrum MEG signals

VL-e Workshop, 7 April 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

VL-e Workshop, 7 April DTI-based Population Studies Courtesy of the AMC and TU Delft, Matthan Caan MR scanner DTI scan Fractional Anisotropy Direction Eigenvalues

VL-e Workshop, 7 April 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

VL-e Workshop, 7 April Interactive Visualization of Brain Images

VL-e Workshop, 7 April Interactive Visualization of Brain Images Problem  Intuitive Interaction with 3D data  Visualization of 3D data is computation- intensive Approach  Collocated visualization of brain imaging data  Rendering performed remotely Results  Interactive high-end visualization is possible on low-end machine

VL-e Workshop, 7 April 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)

VL-e Workshop, 7 April DeVIDE Courtesy of the TU Delft, Charl Botha

VL-e Workshop, 7 April Functional MRI Studies MR scanner fMRI scan Brain activation maps MR scanner fMRI scan Brain activation maps

VL-e Workshop, 7 April 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

VL-e Workshop, 7 April Virtual Lab for fMRI

VL-e Workshop, 7 April Overview Introduction Activities and Status Concluding Remarks

VL-e Workshop, 7 April 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 VL-e Medical: Goals x Status … for advanced clinical and research applications

VL-e Workshop, 7 April 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

VL-e Workshop, 7 April 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, Bob Herzberger 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

VL-e Workshop, 7 April