ANTS is a well-evaluated normalization and neuroanatomy toolkit that enables a wide variety of transformation models, similarity metrics and images to guide brain (or other image) mapping. Particular features are symmetric diffeomorphic mapping, label-guided mapping and tools for estimating surface curvature from images and cortical thickness. Image difference, mutual information and correlation are both available to guide the registration and may be combined in a multivariate way for optimizing complex registration problems.