Local similarity measures for multimodal image matching

In this paper we focus on local similarity measures based on Shannon entropy which can be used for multimodal image matching employing deformations. The advantage of our approach is that global similarity or similarity of a larger image region can be computed from the similarities of its constitutive parts or individual voxels. We also discuss the interpolation artefacts in entropy based similarity measures caused by linear and partial volume interpolation.