SimpleITK 0.9.0 has been released!
Here is a quick overview of the ITKv4's registration in SimpleITK via IPython/Jupiter notebook.
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:
Several examples can be found in the examples directory to help you get started. These examples include Affine registration, BSpline, Demons and Displacement fields.
The following filters were also added: