Title: Multimodal image registration using mutual
information

Abstract: Mutual information is currently most effective
matching criterion for mutual modal image registration.
For two images, mutual information is a measure of how
well one image explains the other, or vice versa and it
is assumed to be maximal if the images are geometrically
aligned. Maximization of MI is a very general and powerful
criterion, because no assumptions are made regarding the nature of this
dependence and no limiting constraints are imposed on the image
content of the modalities involved
  Since MI based method was introduced in 1995 by
both Viola and Wells and by Collignon as a measure for image
matching, a bunch of research has been done to make it more
efficient and extend to handle non-rigid motion. This talk will
be a survey of MI-based methods.