This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication

Year(s) from:  to 
Keywords (separated by spaces):

Adaptive Subdivision for Hierarchical Non-rigid Registration of Multi-modal Images Using Mutual Information

A. Andronache, P. Cattin and G. Székely


In this paper we present an enhanced method for non-rigid registration of volumetric multi-modal images using Mutual Information (MI). Based on a hierarchical subdivision scheme, the non-rigid matching problem is decomposed into numerous rigid registrations of sub-images of decreasing size. A thorough investigation revealed limitations of this approach, caused by a peculiar behavior of MI when applied to regions covering only a limited number of image pixels. We examine and explain the loss of MI?s statistical consistency along the hierarchical subdivi- sion. We also propose to use information theoretical measures to identify the problematic regions in order to overcome the MI drawbacks. This does not only improve the accuracy and robustness of the registration, but also can be used as a very efficient stopping criterion for the fur- ther subdivision of nodes in the hierarchy, which drastically reduces the computational costs of the entire registration procedure.

Download in pdf format
  author = {A. Andronache and P. Cattin and G. Székely},
  title = {Adaptive Subdivision for Hierarchical Non-rigid Registration of Multi-modal Images Using Mutual Information},
  booktitle = {MICCAI 2005},
  year = {2005},
  keywords = {non-rigid image registration, hierarchical subdivision, spatial autocorrelation}