[ITK-users] [ANNOUNCE] SimpleITK 0.9.0 Release

[Bradley Lowekamp]

We are pleased to announce the release of SimpleITK 0.9.0!

NOW WITH REGISTRATION

Here is a quick overview of the ITKv4's registration in SimpleITK via IPython/Jupiter notebook:
http://insightsoftwareconsortium.github.io/SimpleITK-Notebooks/60_RegistrationIntroduction.html

This release features the ImageRegistrationMethod which brings a SimpleITK style interface to the modular ITKv4 registration framework. This adds support for a variety of transforms including rigid, affine, b-spline, and deformation fields. The metrics supported include correlation, means squares, ANTS neighborhood correlation, and mutual information. A variety of optimizers are available along with scales estimators for the optimized transformation parameters and built in multi-scale registration support.

Additionally, a number of registration filters have been added: DemonsRegistrationFilter, DiffeomorphicDemonsRegistrationFilter, FastSymmetricForcesDemonsRegistrationFilter, LevelSetMotionRegistrationFilter and SymmetricForcesDemonsRegistrationFilter.

Several examples can be found in the examples directory to help you get started. These examples include Affine registration, BSpline, Demons and Displacement fields. 
http://www.itk.org/SimpleITKDoxygen/html/examples.html


We have also added the following filters: AdditiveGaussianNoiseImageFilter, AggregateLabelMapFilter, BinaryImageToLabelMapFilter, ChangeLabelLabelMapFilter, CollidingFrontsImageFilter, DisplacementFieldJacobianDeterminantFilter, FastMarchingBaseImageFilter, FastMarchingUpwindGradientImageFilter, InverseDisplacementFieldImageFilter, InvertDisplacementFieldImageFilter, LabelImageToLabelMapFilter, LabelShapeStatisticsImageFilter, LabelStatisticsImageFilter, LabelUniqueLabelMapFilter, MergeLabelMapFilter, RelabelLabelMapFilter, SaltAndPepperNoiseImageFilter, ShotNoiseImageFilter, SpeckleNoiseImageFilter and TransformToDisplacementFieldFilter


Information on how to get started and download the binaries: http://www.itk.org/Wiki/SimpleITK/GettingStarted#Binaries

Binary distributions for many platforms and languages are available for downloading: https://sourceforge.net/projects/simpleitk/files/SimpleITK/0.9rc1/

Release Doxygen Documentation: http://www.itk.org/SimpleITKDoxygen09/html/index.html

Additional Release Notes: http://www.itk.org/Wiki/SimpleITK/ReleaseNotes#SimpleITK_-_Version_0.9.0_Release

Enjoy!