NA-MIC National Alliance for Medical Image Computing Non-Interactive Tools Stephen Aylward, Kitware

National Alliance for Medical Image Computing Non-interactive tools Schizophrenia Neurodevelopment Austism MRI, PET, MR Perf Shape Analysis TBI, HD RadOnc, Neurosurgery 3,224 commits 914,446 lines of code 68 developers GPU, GRID Modularity Qt, KWWidgets C++, Python, TCL Mac, Windows, Linux Software Process

National Alliance for Medical Image Computing NA-MIC Kit Infrastructure Software process –CMake and CPack –CDash and CTest –Data management –High-performance computing Future work (NA-MIC Renewal)

National Alliance for Medical Image Computing Software process Challenges: 1.Provide effective resources for developers…and users 2.Uphold community standards (quality, style, doc.) 3.Minimize burden on developers…and users

National Alliance for Medical Image Computing CMake and CPack Summary –Cross-platform build control from a single configuration file –Release Candidate 2.9 –1200 downloads per day –Users: KDE, Blizzard (WoW), Nvidia Features added –Library support: Qt, R –Superbuild: single run to download and configure multiple libraries and executables Use cases –3DSlicer, Teem, CLI Modules, MRML, 3DSlicer Qt

National Alliance for Medical Image Computing CDash and CTest Summary –Regression testing on multiple platforms (OS, CPU, Compilers) –Popular: 100 projects freely hosted on cdash.org –Robust: Over 1,000 submissions to ITK’s dashboard fest Features added –CDash: new statistics, compression of historical data –CTest: parallel tests (ctest –j 8) Use cases –Over 100 tests added to Slicer in the past few weeks –Coverage, Win7, Snow Leopard, …

National Alliance for Medical Image Computing Data management PubDB (MIDAS / Insight Journal) The Extensible Neuroimaging Archive Toolkit (XNAT) –Management and exploration of neuroimaging and related data. –Secure database backend –Rich web-based user interface –XNAT 1.4 RC3 –XNAT Desktop (XND)

National Alliance for Medical Image Computing XNAT Features Added –More robust QC modeling –REST and LDAP support. –Improved memory footprint and efficiency. –Refactored Search UI in the listing engine. –Prebuilt XNAT images using VMWare and Virtualbox –xnatfs provides WebDav access to XNAT instances Use cases –FetchMI, XNAT Desktop

National Alliance for Medical Image Computing High-performance computing GPU volume rendering BatchMake –Scripting multiple Slicer modules for grid computing Grid Wizard Enterprise (GWE) –Application scheduler that can run multiple (thousands) modules simultaneously on clusters / grids.

National Alliance for Medical Image Computing GWE Features added Interactive experiments' results browser. –Next generation: Record set explorer CSV and generated commands dumps and preview. Support for LSF and Lava cluster DRMs. Ability to override auto-discovered DRMs with configured ones. Ability to override default database installation location. Function to extract experiments' parameters from text files. Operations to delete, pause and resume experiments. Use Cases Parameter space explorations, GWE MiniRetreats, Project Week

National Alliance for Medical Image Computing Future work MUCH, including: 1. Integrated project tracking –Goal: generate a comprehensive timeline of a project. –Integrate SVN, CMake, CTest, CDash, Wiki, and BugTracker E.g., Commit a code change: –wiki page is created for developer to describe the change, –related bug report is annotated, –subsequent dashboard changes are recorded, –all are linked from a central timeline

National Alliance for Medical Image Computing Future work (cont.) 2. Centralized Test Management via CDash / MIDAS integration –CDash operates as a master for Dashboard slaves Dashboard slaves set their availability and resources CDash server allocates tests and testing data to the slaves –Ensures testing of important configurations –More efficient use of available resources –Allocations can change nightly to cover complex combinations CDash

National Alliance for Medical Image Computing Future work (cont.) 3. IPython for interactive distributed computing –Python chosen as a favored scripting language for Slicer VTK and Qt are well supported by python ITK v4 will have python as a target language Considered perl (biologists), tcl (comp sci), BatchMake, JavaScript,... –IPython = extensions to python for interactive distributed computing Threaded, grid, and distributed computing Reduced setup and learning curve Broad support

National Alliance for Medical Image Computing Software process Challenges: 1.Provide effective resources for developers…and users 2.Uphold community standards (quality, style, doc.) 3.Minimize burden on developers…and users