Developments and Activities in VL-e Medical

1. VL-e Workshop, 7 April 2006

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

3. Overview • Introduction • Activities and Status • Concluding Remarks VL-e Workshop, 7 April 2006

4. Introduction • Goal of VL-e Medical • Problem-Solving Environment (PSE) for Medical Imaging Applications (MIA) VL-e Workshop, 7 April 2006

5. Database CT scanner Research Patient Records Hospital Clinical / Research Medical Imaging Workflow MR scanner PACS Radiology Examination/Viewing VL-e Workshop, 7 April 2006

6. 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 2006

7. 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 2006

8. Overview • Introduction • Activities and Status • Concluding Remarks VL-e Workshop, 7 April 2006

9. 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 2006

10. Magneto Encephalography System (MEG) courtesy CTF MEG Systems MEG Functional Imaging MEG signals Analysis tool for MEG data courtesy VUMC MEG Centrum VL-e Workshop, 7 April 2006

11. 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 2006

12. DTI scan Eigenvalues Fractional Anisotropy Direction DTI-basedPopulation Studies MR scanner Courtesy of the AMC and TU Delft, Matthan Caan VL-e Workshop, 7 April 2006

13. DTI-basedPopulation 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 2006

14. Interactive Visualization of Brain Images VL-e Workshop, 7 April 2006

15. 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 2006

16. 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 2006

17. DeVIDE Courtesy of the TU Delft, Charl Botha VL-e Workshop, 7 April 2006

18. MR scanner MR scanner fMRI scan Brain activation maps Functional MRI Studies fMRI scan Brain activation maps VL-e Workshop, 7 April 2006

19. 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 2006

20. Virtual Lab for fMRI VL-e Workshop, 7 April 2006

21. Overview • Introduction • Activities and Status • Concluding Remarks VL-e Workshop, 7 April 2006

22. 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 VL-e Workshop, 7 April 2006

23. 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 2006

24. 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 2006

25. VL-e Workshop, 7 April 2006