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
 
* [[GPU_Acceleration_-_V4|GPU Acceleration - V4 (deprecated link)]]
 
 
=== Numerical Libraries ===
 
* [[ITK_Release_4/Refactor Numerical Libraries|Refactor Numerical Libraries]]
 
== Release schedules ==
 
* [[ITK Release 4/ReleaseSchedules|Release Schedules]]
 
= The Team =


== Oriented Images ==
[[ITK_Release_4/The Team|The Team]]
* 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
= Wish List =
** 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 ==
[[ITK_Release_4/Wish List|Wish List]]
* 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 redundant with correct use of image regions


== Statistics ==
= Migration Plan (Developers) =
* Complete statistics refactoring (see NAMIC sandbox)


== FEM Meshes ==
[[ITK_Release_4/Migration Plan|Migration Plan]]
* Consolidate FEM Meshes and ITK Meshes


== Clean-up CMake Vars ==
= Migration Guide (for Users) =
* See proposal [[ITK_CMake_Style|HERE]].


== Remove Deprecated Features ==
[[ITK_Release_4/Users Migration Guide|Users Migration Guide]]
* Functions that have been deprecated (and appropriately marked as such) for more than 3 releases should be removed.


== Image Registration ==
= Software Guide (Update) =
* 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 ==
[[ITK_Release_4/Software Guide Update|Software Guide Update]]
* 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?''
= A2D2 Projects =


* 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. 
[[ITK_Release_4/A2D2_Projects|A2D2 Projects]]
** 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]]).
= New Fields =


== Proper resampling/consistency in IndexToPhysicalPoint, ContinuousIndexToPhysicalPoint, Point* ==
ITKv4 will provide improved support for
* 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


== Composite Transform ==
* [[ITK_Release_4/Video|Video]]
* Define a composite transform which can contain any number of transforms, composed.
* [[ITK_Release_4/Microscopy|Microscopy]]
* Only expose the parameters of the last transform for optimization (default)
* [[ITK_Release_4/Remote Sensing|Remote Sensing]]
* 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


== Make as much filters as possible able to run in place ==
= Discussion Points =
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/Discussion Points|Discussion Points]]
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.


== Set the default options values to provide the highest result quality ==
= Outreach =
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.


== Normalize the Binary/Label/Grayscale usage in code and in the class names ==
[[ITK_Release_4/Outreach|Outreach]]
[[Proposals:Consistent_usage_of_label_and_binary_images]]


== Drop the itk::Image::GetBufferPointer() method ==
= New Code Contribution Process =
This method has been many time described as a problem to implement new image layouts.


== Use an image template parameter in the complex related filters ==
[[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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