Multi-Modality Image Registration Maximization of Mutual Information

Authors:
Frederik Maes;Andre Collignon;Dirk Vandermeulen;Guy Marchal;Paul Suetens
Affiliations:
-;-;-;-;-
Venue:
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Year:
1996

Citing 6
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Abstract

Mutual information of image intensities has been proposed as a new matching criterion for automated multi-modality image registration. In this paper, we give experimental evidence of the power and the generality of the mutual information criterion showing results for various applications involving CT, MR and PET images. Our results illustrate the large applicability of the approach and demonstrate its high suitability for routine use in clinical practice.