[Insight-developers] some edits to the registration parts of the why page

[brian avants]

@  http://www.itk.org/Wiki/ITK_Release_4/Why_Switch_to_ITKv4

current:

New Registration Framework
Automatic optimization parameter scale estimation
Composite transform
Displacement field transform
Better integration of dense displacement field registration into the framework
Better support for multi-threading
Additional evolutionary optimizers
Different B-Spline registration approach available
Transform symmetric second rank tensors

proposed:

New unified and fully multi-threaded optimization and registration framework
Unified framework supports rigid, affine, dense and composite
registration  (e.g. Demons registration initialized by affine
transform)
Improved multi-threaded metrics for rigid, affine and deformable registration
New metrics support sparse or dense sampling
Metrics for landmark or label guided registration
Automatic parameter scale estimation for registration
Automatic step-size selection for gradient-based registration optimizers
Composite transforms and composite transform optimization
Displacement field and diffeomorphic velocity field-based transforms
Better support for multi-threading in multiple components of
registration and optimization hierarchy
Additional evolutionary optimizers
Improved B-Spline registration approach available
Accurately transform and reorient covariant tensors and vectors

Any other suggestions welcome,

brian