Multi-modality image registration by maximization of mutual information

Author

Maes, Frederik ; Collignon, André ; Vandermeulen, Dirk ; Marchal, Guy ; Suetens, Paul

Author_Institution

Lab. for Med. Imaging Res., Katholieke Univ., Leuven, Belgium

fYear

1996

fDate

21-22 Jun 1996

Firstpage

14

Lastpage

22

Abstract

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

Keywords

biomedical NMR; computerised tomography; image registration; medical image processing; positron emission tomography; CT images; MR images; PET images; image intensities; medical diagnostic imaging; multimodality image registration; mutual information maximization; routine clinical practice; Biomedical imaging; Dispersion; Feature extraction; Histograms; Image registration; Image segmentation; Laboratories; Mutual information; Positron emission tomography; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Mathematical Methods in Biomedical Image Analysis, 1996., Proceedings of the Workshop on

Conference_Location

San Francisco, CA

Print_ISBN

0-8186-7368-0

Type

conf

DOI

10.1109/MMBIA.1996.534053

Filename

534053