Fig. 1. 3D TBM system diagram.

Images that are not easily separable in the image domain are transformed to the transport domain, where they are represented as points on a high-dimensional Riemannian manifold. Supervised learning is performed in the transport space. The classifier decision boundaries are inverted to visualize the discriminant patterns causally driving classification as computer-generated images in the image domain. 3D TBM is performed on volumetric images, although a single white matter axial slice is shown here for illustration purposes.