DocumentCode :
1515804
Title :
A bound on mutual information for image registration
Author :
Skouson, Mark B. ; Guo, Quji ; Liang, Zhi-Pei
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Volume :
20
Issue :
8
fYear :
2001
Firstpage :
843
Lastpage :
846
Abstract :
An upper bound is derived for the mutual information between a fixed image and a deformable template containing a fixed number of gray-levels. The bound can be calculated by maximizing the entropy of the template under the constraint that the conditional entropy of the template, given the fixed image, be zero. This bound provides useful insight into the properties of mutual information as a similarity metric for deformable image registration. Specifically, it indicates that maximizing mutual information may not necessarily produce an optimal solution when the deformable transform is too flexible.
Keywords :
image registration; maximum entropy methods; medical image processing; conditional entropy; deformable image registration; deformable transform; gray-levels number; medical image registration; mutual information bound; optimal solution; similarity metric; Analysis of variance; Delay effects; Delay estimation; Entropy; Image registration; Interpolation; Mutual information; Random variables; Signal processing; Upper bound; Image Processing, Computer-Assisted; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.938252
Filename :
938252
Link To Document :
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