1. VL-e Workshop, 7 April 20061

2. Developments and Activities in VL-e Medical Sílvia D. Olabarriaga Informatics Institute, UvA silvia@science.uva.nl

3. VL-e Workshop, 7 April 20063 Overview Introduction Activities and Status Concluding Remarks

4. VL-e Workshop, 7 April 20064 Introduction Goal of VL-e Medical  Problem-Solving Environment (PSE) for Medical Imaging Applications (MIA)

5. VL-e Workshop, 7 April 20065 Medical Imaging Workflow MR scanner Radiology Examination/Viewing CT scanner PACS Research Database Hospital Patient Records Clinical / Research

6. VL-e Workshop, 7 April 20066 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

7. VL-e Workshop, 7 April 20067 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

8. VL-e Workshop, 7 April 20068 Overview Introduction Activities and Status Concluding Remarks

9. VL-e Workshop, 7 April 20069 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

10. VL-e Workshop, 7 April 200610 MEG Functional Imaging Magneto Encephalography System (MEG) courtesy CTF MEG Systems Analysis tool for MEG data courtesy VUMC MEG Centrum MEG signals

11. VL-e Workshop, 7 April 200611 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

12. VL-e Workshop, 7 April 200612 DTI-based Population Studies Courtesy of the AMC and TU Delft, Matthan Caan MR scanner DTI scan Fractional Anisotropy Direction Eigenvalues

13. VL-e Workshop, 7 April 200613 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

14. VL-e Workshop, 7 April 200614 Interactive Visualization of Brain Images

15. VL-e Workshop, 7 April 200615 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

16. VL-e Workshop, 7 April 200616 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)

17. VL-e Workshop, 7 April 200617 DeVIDE Courtesy of the TU Delft, Charl Botha

18. VL-e Workshop, 7 April 200618 Functional MRI Studies MR scanner fMRI scan Brain activation maps MR scanner fMRI scan Brain activation maps

19. VL-e Workshop, 7 April 200619 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

20. VL-e Workshop, 7 April 200620 Virtual Lab for fMRI

21. VL-e Workshop, 7 April 200621 Overview Introduction Activities and Status Concluding Remarks

22. VL-e Workshop, 7 April 200622 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

23. VL-e Workshop, 7 April 200623 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

24. VL-e Workshop, 7 April 200624 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

25. VL-e Workshop, 7 April 200625