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VL-e Workshop, 7 April 2006 1 Developments and Activities in VL-e Medical Sílvia D. Olabarriaga Informatics Institute, UvA [email protected] Overview • Introduction • Activities and Status • Concluding Remarks VL-e Workshop, 7 April 2006 3 Introduction • Goal of VL-e Medical Problem-Solving Environment (PSE) for Medical Imaging Applications (MIA) VL-e Workshop, 7 April 2006 4 Medical Imaging Workflow CT scanner MR scanner Database PACS Radiology Research Examination/Viewing Patient Records Hospital Clinical / Research VL-e Workshop, 7 April 2006 5 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 6 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 7 Overview • Introduction • Activities and Status • Concluding Remarks VL-e Workshop, 7 April 2006 8 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 9 MEG Functional Imaging Magneto Encephalography System (MEG) MEG signals courtesy CTF MEG Systems Analysis tool for MEG data courtesy VUMC MEG Centrum VL-e Workshop, 7 April 2006 10 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 11 DTI-based Population Studies MR scanner DTI scan Eigenvalues Fractional Anisotropy Direction Courtesy of the AMC and TU Delft, Matthan Caan VL-e Workshop, 7 April 2006 12 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 2006 13 Interactive Visualization of Brain Images VL-e Workshop, 7 April 2006 14 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 VL-e Workshop, 7 April 2006 15 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 16 DeVIDE Courtesy of the TU Delft, Charl Botha VL-e Workshop, 7 April 2006 17 Functional MRI Studies MR scanner MR scanner fMRI scan fMRI scan Brain activation maps Brain activation maps VL-e Workshop, 7 April 2006 18 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 19 Virtual Lab for fMRI VL-e Workshop, 7 April 2006 20 Overview • Introduction • Activities and Status • Concluding Remarks VL-e Workshop, 7 April 2006 21 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 22 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 23 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 VL-e Workshop, 7 April 2006 24 VL-e Workshop, 7 April 2006 25