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!
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