General Registration (BRAINS) descriptors or features used to make Affine Registration (12 DOF)

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Operating system: Linux
Slicer version: 4.5.0

Recently, I used 3D slicer to make co-registration between breast tumor images (MRI). I used the General Registration (BRAINS), in which I used the linear transform initialized with “useMomentsAlign”. Then ,I used the flowing registration phases in order : Rigid(6 ODF), Rigid+scale(7 ODF) and Affine(12 DOF). As results, I have a good registration with the transformation file (.h5) containing the 12 transformations. My question is about the descriptors/features used in this registration, I means what is the operations used to found the 12 unknown variables (12 DOF). I imagine that a comparison between the two inputs images descriptors are made but which features exactly? (is it the shape, intensities …?)

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The module documentation page has lots of information on that:

https://www.slicer.org/wiki/Documentation/4.8/Modules/BRAINSFit

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