Difference between revisions of "EngineeringRetreat2010"

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==longer term infrastructure improvements==
 
==longer term infrastructure improvements==
−
* Packaging for linux
+
* Define a "Core" Slicer that can be distributed with InsightApplications repository of ITKv4
 +
** Review Slicer application framework to support modularization and customization
 +
** Two audiences:
 +
*** Simple Interface for Radiologists
 +
*** Simple, Extensible Platform for Developers (for custom apps/interfaces).
 
* Switch to GIT
 
* Switch to GIT
−
* Dashboards, builds, releases using common tags/svn#s
+
* Switch to client/server dashboards and take advantage of its benefits
 +
** Each night binaries copied from client machines to Dashboard page/database that manages them
 +
** Ensures Dashboards, builds, releases using common tags/svn#s
 +
** Ensures available binaries include last-successful build, last-release build, and last-nights build.
 +
** Dashboard specifies what should be build on what clients ("CDash@home" or "Client/Server CDash")
 +
* Consider ITKv4 module management tools being developed
 +
** Documentation prior to code development
 +
** Module-specific dashboards
 +
** forum-style commentaries on modules
 +
* Packaging/Superbuild fixes
 +
** Package for linux
 +
** Windows - clean registry on uninstall
 +
** Mac - .dmg into application folder
 
* Creation of a [http://wiki.slicer.org/slicerWiki/index.php/Slicer4:DisplayModule Display Module]
 
* Creation of a [http://wiki.slicer.org/slicerWiki/index.php/Slicer4:DisplayModule Display Module]
 
* Make plans for a new and improved [http://www.slicer.org/slicerWiki/index.php/Modules:Editor-Documentation-3.6 Editor] for slicer4
 
* Make plans for a new and improved [http://www.slicer.org/slicerWiki/index.php/Modules:Editor-Documentation-3.6 Editor] for slicer4
 
** Grow Cuts, RSS and fast Marching with volume cropping, integral volume rendering, (limited) GPU acceleration
 
** Grow Cuts, RSS and fast Marching with volume cropping, integral volume rendering, (limited) GPU acceleration
 
* Investigate use of a binary mask used with volume rendering to specify non-rectilinear ROIs, to display segmentation results, and to display effects of interactive editing
 
* Investigate use of a binary mask used with volume rendering to specify non-rectilinear ROIs, to display segmentation results, and to display effects of interactive editing
−
*extended save: save to local and remote destinations. Make plans for logic components, DB transaction, and UI design.
+
* extended save: save to local and remote destinations. Make plans for logic components, DB transaction, and UI design.
 
* GUI Testing
 
* GUI Testing
 
** There is now an open-source method for automated testing of Qt-based applications: http://www.paraview.org/Wiki/Testing_design
 
** There is now an open-source method for automated testing of Qt-based applications: http://www.paraview.org/Wiki/Testing_design
Line 39: Line 55:
 
** visualize, indicate correspondence and support interactions with a scene in which the data differ by orders of magnitude and change over time
 
** visualize, indicate correspondence and support interactions with a scene in which the data differ by orders of magnitude and change over time
 
* Infrastructure that supports simultaneous GPU-based volume rendering and GPU-based interactive segmentation methods (vtkWidgets)
 
* Infrastructure that supports simultaneous GPU-based volume rendering and GPU-based interactive segmentation methods (vtkWidgets)
−
* Define a "Core" Slicer that can be distributed with InsightApplications repository of ITKv4
 
−
** Two audiences:
 
−
*** Simple Interface for Radiologists
 
−
*** Simple, Extensible Platform for Developers (for custom apps/interfaces).
 
 
* Guidelines and examples for GPU-based algorithms
 
* Guidelines and examples for GPU-based algorithms
 
* Interactive/iterative command-line modules (e.g., tied to a vtkWidget)
 
* Interactive/iterative command-line modules (e.g., tied to a vtkWidget)
Line 49: Line 61:
 
* Batch processing (IPython) examples
 
* Batch processing (IPython) examples
 
** includes an algorithm validation framework
 
** includes an algorithm validation framework
−
* Interact with [http://www.kitware.com/blog/home/post/49 ITKv4], [http://commontk.org CTK], [http://nipy.sourceforge.net/software/projects/ NiPy], and other like-minded projects.
+
* Interact with [http://www.kitware.com/blog/home/post/49 ITKv4] (once released?), [http://commontk.org CTK], [http://nipy.sourceforge.net/software/projects/ NiPy], and other like-minded projects.
−
*Review Slicer application framework to support modularization and customization
 
  
 
=Agenda=
 
=Agenda=

Revision as of 00:04, 24 October 2010

Home < EngineeringRetreat2010
Back to Events

Goals: Develop clarity and a plan for this year's work; establish broader strategic vision for the next four NAMIC years.

Logistics

  • When: November 17-18 (Wednesday and Thursday). Start time: noon Wednesday, end time: early afternoon Thursday
  • Where: Boston SPL, 1249 Facility
  • Who: Engineering Core leaders and key personnel

Wishlist for Engineering core

  • New development efforts are targeted at Slicer4. Slicer 3.6.x is in maintenance mode.

Short term goals

  • Targeted for AHM
  • Assign owners for each bullet item on this list
  • Rons number 1: Augment scenes and scenesnapshots (see also its counterpart, the Image Database UI)
    • Thumbnails: user selectable toggle: 3d viewer (default), whole frame, red slice viewer
    • Annotation: User-provided description of scenesnapshot/scene
    • Tool to replace thumbnails, edit annotations
  • Rons number 2: Unified load/save: harmonize loading and saving of different types of data, from local and remote data sources. Plan and implement minimalist UI design, missing logic components, and, possibly, local database
  • Rons number 3: Review Slicer3 bug tracker for issues and feature requests - in UI, particular widgets, command line modules, improved transforms/registration... (Steve)
  • Rons number 4: Keep Slicer4 Qt port on schedule (JF)
  • Rons number 5: VTK Widgets Roadmap (Will)
  • Scene snapshot module: reorder, rename
  • organizing multiple data sets from one subject: time series, image fusion etc.
  • Service core will have the Slicer 4 CMAKE superbuild with support for extensions wiki page ready for project week Jan 2011

longer term infrastructure improvements

  • Define a "Core" Slicer that can be distributed with InsightApplications repository of ITKv4
    • Review Slicer application framework to support modularization and customization
    • Two audiences:
      • Simple Interface for Radiologists
      • Simple, Extensible Platform for Developers (for custom apps/interfaces).
  • Switch to GIT
  • Switch to client/server dashboards and take advantage of its benefits
    • Each night binaries copied from client machines to Dashboard page/database that manages them
    • Ensures Dashboards, builds, releases using common tags/svn#s
    • Ensures available binaries include last-successful build, last-release build, and last-nights build.
    • Dashboard specifies what should be build on what clients ("CDash@home" or "Client/Server CDash")
  • Consider ITKv4 module management tools being developed
    • Documentation prior to code development
    • Module-specific dashboards
    • forum-style commentaries on modules
  • Packaging/Superbuild fixes
    • Package for linux
    • Windows - clean registry on uninstall
    • Mac - .dmg into application folder
  • Creation of a Display Module
  • Make plans for a new and improved Editor for slicer4
    • Grow Cuts, RSS and fast Marching with volume cropping, integral volume rendering, (limited) GPU acceleration
  • Investigate use of a binary mask used with volume rendering to specify non-rectilinear ROIs, to display segmentation results, and to display effects of interactive editing
  • extended save: save to local and remote destinations. Make plans for logic components, DB transaction, and UI design.
  • GUI Testing
  • Support scenes containing data that spans multiple scales in time and space
    • visualize, indicate correspondence and support interactions with a scene in which the data differ by orders of magnitude and change over time
  • Infrastructure that supports simultaneous GPU-based volume rendering and GPU-based interactive segmentation methods (vtkWidgets)
  • Guidelines and examples for GPU-based algorithms
  • Interactive/iterative command-line modules (e.g., tied to a vtkWidget)
  • DICOM via CTK
  • Determine an alternative to Mantis/bug-tracking. We have over 495 bugs.
  • Batch processing (IPython) examples
    • includes an algorithm validation framework
  • Interact with ITKv4 (once released?), CTK, NiPy, and other like-minded projects.

Agenda

See also

Attendees

  1. Steve Pieper
  2. Will Schroeder
  3. Jim Miller
  4. Ron Kikinis
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