ITK/Release 4 Planning: Difference between revisions

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= Wish List =
= ITK Version 4 =
This work is supported by ARRA funding from the NLM. The [http://visual.nlm.nih.gov/itk/itk2010/agenda.html kick-off meeting] for this project took place from June 28-July 2 2010 in Bethesda. A beta version of the software will be available by the end of March 2011. Bug fixes will continue to be contributed to the ITK version 3 code.
== Download ==
 
* [[ITK_Release_4/Download|Download]]
 
== Release Notes ==
 
* [[ITK_Release_4/Migration Plan/Release Notes|Release Notes]]
 
== LICENSE Change ==
 
Starting with ITKv4-Alpha-01, the ITK toolkit is distributed under the Apache 2.0 License.
 
More details here:
 
* [[ITK_Release_4/Licensing|Licensing]]
 
== Revision Control ==
 
* Adopt a modern revision control system
** Move from cvs to [http://git-scm.com git] for distributed source code management
** [[ITK/Git|ITK Git Instructions]]
 
== Code Review ==
 
* Adopt a code review system
** [http://review.source.kitware.com/p/ITK ITK Gerrit]
** Powered by [http://code.google.com/p/gerrit/ Gerrit Code Review]
 
== Modern C++ ==
 
* [[ITK_Release_4/Modern C++|Modern C++]]
 
* Take advantage of advances in C++
** Target popular compilers that are compatible with the C++98 and/or C++03 standard (http://en.wikipedia.org/wiki/C%2B%2B03#Language_standard). 
** Specifically remove support for Visual Studio prior to 7.1 (e.g., 6 and 7.0),  Borland version 5.5, Sun Studio compilers prior to 5.9, IRIX compilers, MWORKS compilers, cygwin 1.5 (newer versions may work, but are not being targeted), and gcc prior to 3.4
 
== Wrapping ==
 
* Improved ITK Wrapping at the class level (WrapITK)
** [[ITK_Release_4/Wrapping|Wrapping]]
** Particularly for Python 2.x, Python 3, Java and C#
 
== Simplify ==
 
* Addition of [[ITK_Release_4/SimpleITK|Simple ITK Layer]]
 
== Modularize ==
 
* Refactor for [[ITK_Release_4/Modularization|Modularity]]
** ITKCore, ITKRegistrationModule, and Optional Modules
 
== Testing Crowdsourcing ==
 
* [[ITK_Release_4/Testing_Crowdsourcing|Testing Crowdsourcing]]
 
== Improve Software Process ==
 
* Enhanced project management tools and software processes
 
=== Data Management ===
 
* Better management for [[ITK_Release_4/Testing Data|Testing Data]]
* Data Collection [[ITK_Release_4/Data Collection|MIDAS]]
 
=== Distributed Testing (cdash@home) ===
 
* Testing On Demand [[ITK_Release_4/Testing On Demand|cdash@home]]
 
=== Testing Framework ===
 
* [[ITK_Release_4/UnitTesting|New unit testing framework]] based on [http://code.google.com/p/googletest/ Google Test]
** Particularly to support module development, testing, and maintenance
 
=== Coding Style ===
 
* [[ITK_Release_4/Coding Style|Coding Style]]
 
== Revise ==
 
=== FEM ===
 
* [[Refactoring itk::FEM framework - V4]]
 
=== Level Sets ===
 
* [[Refactoring Level-Set framework - V4]]
 
=== DICOM ===
 
* Improved DICOM support
** [[ITK_Release_4/DICOM|DICOM]]
** Including communications with PACS
** Support Streaming interface
** Add filter to support Siemens MOSAIC images
** Information Object Definition verification
 
=== Image Registration Framework ===
 
* [[ITK_Release_4/Enhancing Image Registration Framework|Enhancing Image Registration Framework]]
 
=== Spatial Objects ===
 
* [[ITK_Release_4/SpatialObjects | Spatial Object Refactoring project page]]
 
=== Global Code Review ===
 
* [[ITK_Release_4/Global_Code_Review | Global Code Review]]
 
== Accelerate ==
 
=== GPU ===
 
 
* [[ITK_Release_4/GPU Acceleration|GPU Acceleration - V4]]
** With support for distributed computing in the future


== Oriented Images ==
* [[GPU_Acceleration_-_V4|GPU Acceleration - V4 (deprecated link)]]
* Support ND image in N+1 dimension
** 2D image can have an origin specified in 3D, thus a series of 2D images is not always Z-aligned
* All images are oriented - remove concept of an un-oriented image
* Check use of orientation throughout ITK
* Support re-orientation of ND oriented images
** Using anything other than 3D images won't compile with itkOrientedImageFilter


** Spatial Objects
** Meshes
* Suggestions
** [[ITK_Release_4.0_Orientation_by_Kent]]
** [[ITK_Release_4.0_Orientation_by_Torsten]]
** [[ITK_Release_4.0_Orientation_by_Michael]]


== Image Representation ==
=== Numerical Libraries ===
* Allow the use of strides that are not equal to the image width
** Would ease the collaboration of ITK with opencv
** Would allow the use of sse operations
** Might be considered redundant with correct use of image regions but is not since GetLargestPossibleRegion should correspond to the image width and not its stride
* Drop the itk::Image::GetBufferPointer() method
** This method has been many time described as a problem to implement new image layouts.
** As expressed above, we need however to be able to use the memory held by ITK images within other libraries. This could potentially be done by making itk::Image be only a base class that has no knowledge of the memory layout and by implementing different image subclasses.
* Consider replacing ImportImageContainer by std::vector or using std::vector to implement it
** This would give STL iterators that operate on the whole image literally for free and make it easy to use a lot of algorithms implemented in STL and BOOST


== Statistics ==
* [[ITK_Release_4/Refactor Numerical Libraries|Refactor Numerical Libraries]]
* Complete statistics refactoring (see NAMIC sandbox)


== FEM Meshes ==
== Release schedules ==
* Consolidate FEM Meshes and ITK Meshes


== Clean-up CMake Vars ==
* [[ITK Release 4/ReleaseSchedules|Release Schedules]]
* See proposal [[ITK_CMake_Style|HERE]].


== Remove Deprecated Features ==
= The Team =
* Functions that have been deprecated (and appropriately marked as such) for more than 3 releases should be removed.


== Image Registration ==
[[ITK_Release_4/The Team|The Team]]
* Set up the infrastructure to ease the implementation of modern optimization schemes for image registration
** Requires Hessian or pseudo-Hessians of the cost function
** Requires several types of update rules (additive, compositional, inverse compositional, etc.)
** References: "Lucas-Kanade 20 years on" by Baker et al.; "Homography-based 2D Visual Tracking and Servoing" by Benhimane and Malis, "Groupwise Geometric and Photometric Direct Image Registration" by Bartoli; etc.
* Clean up the use of parameter scaling in the optimizers
** One possibility would be that the optimizers only perform unscaled minimization. It would then be up to a cost function wrapper to do the rescaling and potentially return the opposite of the cost function. This is similar to how vnl optimizers are used in ITK
* Optimizers should return the best visited value
** See [http://public.kitware.com/Bug/bug_view_page.php?bug_id=3205 Bug 3205]
* Modify transforms to support a consistent API across transform types
* Modify order of parameters to be consistent across transforms.


== Architecture ==
= Wish List =
* Implement a pure virtual base class for each API to support instantiation of templated filters at run-time with different dimensions.


''Can you explain a bit more?''
[[ITK_Release_4/Wish List|Wish List]]


* Add interfaces to the algorithms that turn incomplete initialization into compile time error for "linear" environments or enable some kind of validation  instead of throwing an exception in "dynamic" environments. In both cases, the entry points to doing real work of the algorithm should then be guarded by assertions regarding the required parameters, not exceptions - since ending up there without proper initialization would always be a programming error. 
= Migration Plan (Developers) =
** As a "linear" environments I define an implementations where the parameters and the input to an algorithm are completely determined by the program. In this case, an error in initialization (by missing a SetXXX method) usually is a programming error. Adding an initialization method or constructor that takes all required parameters would enable the developer to move this error from run-time to compile-time.
** As a "dynamic" environments I imagine e.g. a GUI program, where the user can set the parameters to an algorithm dynamically. Here, a missing SetXXX is not a programming error, but a user error. However, since more than one parameter might be missing, exceptions are not a good way to report the problem. Instead, it should be possible to call some validation function that reports all the missing parameters to the user.


* Allow partial template specialization, (which would imply [[Proposals:Dropping_Support_for_Visual_Studio_6.0 |dropping support for VC 6.0]]).
[[ITK_Release_4/Migration Plan|Migration Plan]]


== Proper resampling/consistency in IndexToPhysicalPoint, ContinuousIndexToPhysicalPoint, Point* ==
= Migration Guide (for Users) =
* Refactor all the interpolators
** See [[Proposals:Refactoring Index Point Coordinate System]]
** See [http://www.itk.org/Bug/view.php?id=6558 ITK Bug 6558]
** Fix bug 0005335 - transform initializer computes geometric center incorrectly


== Deformable Organisms ==
[[ITK_Release_4/Users Migration Guide|Users Migration Guide]]


* Move the framework from the IJ paper:
= Software Guide (Update) =
** http://www.insight-journal.org/browse/publication/116
** http://hdl.handle.net/1926/228


== Composite Transform ==
[[ITK_Release_4/Software Guide Update|Software Guide Update]]
* Define a composite transform which can contain any number of transforms, composed.
* Only expose the parameters of the last transform for optimization (default)
* Used in multivariate atlas formation (DTI reg with T1 reg with atlas)
* Remove all of the Centered transforms
* Modify the base class for optimizers to support key optimizer API calls such as SetMaximize and SetNumberOfIterations or SetMaximumIteration
* See Insight Journal Papers:
** http://www.insight-journal.org/browse/publication/143
** http://www.insight-journal.org/browse/publication/91


== Make as much filters as possible able to run in place ==
= A2D2 Projects =
In place computation is a great way to avoid running out of memory when updating a pipeline. We should review all the existing filters to find the filters which could be implemented that way, and use InPlaceImageFilter has their base class.
Also, a global setting to control the default in place/not in place behavior would be great.


== Make the boundary conditions usage consistent across the toolkit ==
[[ITK_Release_4/A2D2_Projects|A2D2 Projects]]
At the moment, some filters let the user provide a boundary condition, some don't but use one internally, and some just don't use them at all. This should be consistent in the toolkit, and if it make sense, it should be changeable by the user.
Boundary conditions also make some filters hard to enhance with much more efficient algorithms - see BoxMeanImageFilter for an example.


== Replace the current implementation of Marching Cubes and add a 4D version ==
= New Fields =


The itkBinaryMask3DMeshSource filter currently provides the closest functionality to the Marching Cubes algorithm in ITK. However the code of this filter has to be rewritten in order to match the quality standards of the rest of the toolkit. As part of this rewrite we should provide implementations for 2D (marching squares), 3D marching cubes and a 4D version that could be used for segmenting 3D+time datasets.
ITKv4 will provide improved support for  


== Set the default options values to provide the highest result quality ==
* [[ITK_Release_4/Video|Video]]
Some filters have default options values to produce quick transforms rather than high quality transforms. This is the case for the distance map filters, which produced squared results and don't use image spacing by default. This behavior is desirable in some conditions, but shouldn't be the default one.
* [[ITK_Release_4/Microscopy|Microscopy]]
* [[ITK_Release_4/Remote Sensing|Remote Sensing]]


== Normalize the Binary/Label/Grayscale usage in code and in the class names ==
= Discussion Points =
[[Proposals:Consistent_usage_of_label_and_binary_images]]


== Use an image template parameter in the complex related filters ==
[[ITK_Release_4/Discussion Points|Discussion Points]]


== Testing framework ==
= Outreach =
Add a decent testing framework e.g. based on BOOST.test or googletest; see [http://www.itk.org/mailman/private/insight-developers/2008-December/011421.html discussion on the itk-developers]


== Supported compilers ==
[[ITK_Release_4/Outreach|Outreach]]
* We should reconsider the list of supported compilers. ITK 4.0 might be a good time to drop, for example, MSVC 6.0 that only implements a subset of modern C++.


== Code Revision Control ==
= New Code Contribution Process =


* Migrate to Subversion
[[ITK_Release_4/New_Code_Contribution_Process|New Code Contribution Process]]

Latest revision as of 15:59, 20 January 2012

ITK Version 4

This work is supported by ARRA funding from the NLM. The kick-off meeting for this project took place from June 28-July 2 2010 in Bethesda. A beta version of the software will be available by the end of March 2011. Bug fixes will continue to be contributed to the ITK version 3 code.

Download

Release Notes

LICENSE Change

Starting with ITKv4-Alpha-01, the ITK toolkit is distributed under the Apache 2.0 License.

More details here:

Revision Control

  • Adopt a modern revision control system

Code Review

Modern C++

  • Take advantage of advances in C++
    • Target popular compilers that are compatible with the C++98 and/or C++03 standard (http://en.wikipedia.org/wiki/C%2B%2B03#Language_standard).
    • Specifically remove support for Visual Studio prior to 7.1 (e.g., 6 and 7.0), Borland version 5.5, Sun Studio compilers prior to 5.9, IRIX compilers, MWORKS compilers, cygwin 1.5 (newer versions may work, but are not being targeted), and gcc prior to 3.4

Wrapping

  • Improved ITK Wrapping at the class level (WrapITK)
    • Wrapping
    • Particularly for Python 2.x, Python 3, Java and C#

Simplify

Modularize

  • Refactor for Modularity
    • ITKCore, ITKRegistrationModule, and Optional Modules

Testing Crowdsourcing

Improve Software Process

  • Enhanced project management tools and software processes

Data Management

Distributed Testing (cdash@home)

Testing Framework

Coding Style

Revise

FEM

Level Sets

DICOM

  • Improved DICOM support
    • DICOM
    • Including communications with PACS
    • Support Streaming interface
    • Add filter to support Siemens MOSAIC images
    • Information Object Definition verification

Image Registration Framework

Spatial Objects

Global Code Review

Accelerate

GPU


Numerical Libraries

Release schedules

The Team

The Team

Wish List

Wish List

Migration Plan (Developers)

Migration Plan

Migration Guide (for Users)

Users Migration Guide

Software Guide (Update)

Software Guide Update

A2D2 Projects

A2D2 Projects

New Fields

ITKv4 will provide improved support for

Discussion Points

Discussion Points

Outreach

Outreach

New Code Contribution Process

New Code Contribution Process

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