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National Alliance for Medical Image Computing: NAMIC

National Alliance for Medical Image Computing: NAMIC. Ron Kikinis, M.D. http://na-mic.org. NIH Roadmap.

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National Alliance for Medical Image Computing: NAMIC

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  1. National Alliance for Medical Image Computing: NAMIC Ron Kikinis, M.D. http://na-mic.org

  2. NIH Roadmap • National Centers for Biomedical Computing (NCBC) will develop and implement the core of a universal computing infrastructure... The centers will create innovative software programs and other tools that enable the biomedical community to integrate, analyze, model, simulate, and share data on human health and disease. • 7 National Centers for Biomedical Computing • Funded for 5 years with the option for a second cycle

  3. NIH NCBC’s • Center for Computational Biology (CCB) • Informatics for Integrating Biology and the Bedside (i2b2) • Multiscale Analysis of Genomic and Cellular Networks (MAGNet) • National Alliance for Medical Imaging Computing (NA-MIC) • The National Center for Biomedical Ontology (NCBO) • Physics-Based Simulation of Biological Structures (SIMBIOS) • National Center for Integrative Biomedical Informatics (NCIBI)

  4. Structure

  5. Harvard 1. Diffusion-based Registration MIT Utah 2.Group Effect Maps 3. Automatic Segmentation 1. Shape and Atlas Based Segmentation 1. DTI Processing 2. Statistical Shape Analysis 2. Surface Processing 3, DTI Connectivity Analysis 3. PDE Implementations Segmentation Registration Foundational Methods UNC Georgia Tech Structural Features and Statistics 1. Combined Statistical/PDE Methods 1. Quantitative DTI Analysis Connective Features and Statistics 2. Cross-Sectional Shape Analysis 2. Stochastic Flow Models Core 1

  6. 1. Software Architecture 2. Software Process 3. Software Quality 1. Graphical programming interfaces 1. Cross-platform Build 2. Coordinate pre-compiled tools 2. Cross-platform Distribution 3. Data format interpreters 3. Cross-language API’s 1. Grid Middleware 1. DBP Applications 2. Data Grid 2. Application Methodology 3. Data Mediation 3. Application Quality Assurance Core 2 GE Kitware UCLA Software Engineering Software Engineering Tools UCSD Isomics Software Quality Software Integration Data Access Tools Distributed Computing Applications

  7. Core 3 • Core 3.1: Harvard, Dartmouth • Fronto-temporal connections • Cognitive and behavioral data • Core 3.2: UCI, Toronto • Brain regions involving DLPFC • Clinical, cognitive, genetic data

  8. Support Cores (# 4-7) • Service, Training Dissemination • Crucial support for the scientific and engineering enterprise • Support core PI’s also have strong scientific credentials • Collaboration history through BIRN and ITK

  9. Training

  10. Dissemination: Events

  11. NA-MIC-Organization Structure

  12. The Philosophy Open Source + Open Data = Open Science Terry Yoo

  13. For More Information www.na-mic.org

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