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Slicer 3 Ron Kikinis, Steve Pieper
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CTK Workshop Heidelberg, June 29/30, 2009 Slicer Goals Stable, Usable, Cross Platform, End-User Software for Medical Image Analysis 3D Slicer Role in NA-MIC and NCIGT Translation Platform to Deliver Medical Computing Technology to DBP Researchers Provide Reference Implementation using NA-MIC Kit (End-to-End Open Source) Outreach to New Applications
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CTK Workshop Heidelberg, June 29/30, 2009 3D Slicer Nutshell 3D Slicer Version 3 work began in 2005, first code 2006 Multi-platform, Using Kitware software engineering methodology Includes by now 11 packages and toolkits (ITK, VTK, Python, Tcl/Tk, KWWidgets, IGSTK, ….) Layered modular architecture: trunk, loadable modules, plug-ins Support for external plug-ins from a repository
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CTK Workshop Heidelberg, June 29/30, 2009 Progress Since Jan 2009 Numbers Jan 2009 Subversion Commits: 8,317 Lines of Code*: 735,536 Bugs & Features: 239 Submitted 129 Fixed Active Developers † : 53 3D Slicer Version 3.2 Released August 8, 2008 *: find. -iname \*.h -o -iname \*.cxx -o -iname \*.tcl -o -iname \*.java -o -name \*.py | grep -v svn | xargs wc (does not include libraries or modules in external repositories) †: svn log | grep "^r" | cut -d " " -f 3 | sort | uniq | wc Numbers June 2009 –Subversion Commits: 9,732 (1,415) –Lines of Code*: 791,101 –Bugs & Features: 605 Submitted 323 Fixed –Active Developers†: 59 3D Slicer Version 3.4 –Released May 2009
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CTK Workshop Heidelberg, June 29/30, 2009 Focus of 3D Slicer Development Analysis and display of medical image data from single subjects: Complex visualization capabilities; Real Time data Segmentation and registration, DTI, DCE, Changetracking, mesh generation FOSS without restrictions (BSD-style) Useability Workflows Open source PACS + Clinical Database (XNAT)
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CTK Workshop Heidelberg, June 29/30, 2009 Roadmap Next 12 months Improved loading interface Improvements to EM Segmentation Improvements to Registration Annotation and Markup capabilities Workflow engine Port to QT (now possible because of license change) Full roundtrip capabilities with XNAT enterprise Beyond 12 months Will write a competitive renewal of NA-MIC Widen focus to applications and solutions: neuro, cardiovascular, cancer, IGT, biology
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CTK Workshop Heidelberg, June 29/30, 2009 Dreams Long term vision To build more and more robust solutions for biomedical research Provide an easy to use plug-in interface to attract third party development
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CTK Workshop Heidelberg, June 29/30, 2009 Open-source status and activities Source code availability: SVN open for checkouts, write access controlled, currently 50+ developers License model: BSD-style license Public process: feature planning: professional core engineering, open weekly tcons, twice a year weeklong project weeks, ad hoc in person meetings bug tracking: mantis bugtracker, regular bug squashing efforts testing: Kitware methodology: cmake, ctest, cpack Contributions: all comers accepted, emerging plugin infrastructure will remove needs for “policing” Community ...
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CTK Workshop Heidelberg, June 29/30, 2009 Community Core funding by NIH center grants: NA-MIC, NAC, NCIGT, Catalyst Algorithms, Engineering, Driving Biological Projects Collaborations with funding component for core (currently about 8) Other collaborations Regular “Project Weeks” (twice a year since June 2005) Last week at MIT: 125 participants, 71 projects Segmentation, Registration, Diffusion, IGT, Informatics… GE, Siemens, INRIA, Kitware, Harvard, MIT, UNC, UCLA, NCI… Open-source status and activities
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CTK Workshop Heidelberg, June 29/30, 2009 What's most important for a common platform / toolkit? Developers Flat learning curve Provide attractive infrastructure Multi platform support FOSS Robust I/O End Users Flat learning curve UIs for beginners and experts Solve problems they care about Large portfolio of solutions to be attractive to a large number of end users
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CTK Workshop Heidelberg, June 29/30, 2009 How could a collaboration look like? Possible ways of collaboration (from loose to tight): Regular workshops Defined interfaces as in DICOM Bridges between existing toolkits on different levels: Data level: file-based exchange, inter-process communication,... Code level: adapter classes, common base classes,... “Common Toolkit”, composed from existing toolkits “Common Toolkit”, implemented from scratch
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