DocumentCode :
2500118
Title :
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
Link To Document :
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