We are pleased to announce the SimpleITK 0.9 Release Candidate 1!

NOW WITH REGISTRATION

We encourage the community to download and test these binary packages. Thank 
you to those who tested the Beta release and provided feedback. We expect to be 
releasing 0.9 next week!

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

There are several IPython/Jupyter Notebooks to illustrate using the 
registration framework:
http://www.itk.org/Wiki/SimpleITK/ReleaseNotes#Release_Candidate_Announcement


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

Before the final release we will work on improving documentation, and fixing 
critical bugs. 

You will need to manually download the beta binaries, then explicitly install 
the downloaded beta file.

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/

Nightly Doxygen Documentation: 
http://www.itk.org/SimpleITKDoxygen/html/index.html

Additional Release Notes: 
http://www.itk.org/Wiki/SimpleITK/ReleaseNotes#Release_Candidate_Announcement

Enjoy!
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