Incorporating spatial information into entropy estimates to improve multimodal image registration

Author

Cahill, Nathan D. ; Williams, Cranos M. ; Chen, Shoupu ; Ray, Lawrence A. ; Goodgame, Marvin M.

Author_Institution

Res. & Dev., Eastman Kodak Co., Rochester, NY

fYear

2006

fDate

6-9 April 2006

Firstpage

832

Lastpage

835

Abstract

We propose an approach to incorporate spatial information into the estimate of the entropy of an image by partitioning a high-dimensional space into regions over which a one-dimensional histogram can be indexed. This approach obviates the need for the construction of high-dimensional histograms and makes no assumptions on the form of the high-dimensional probability mass function. We use this partitioned estimate of entropy to compute image similarity measures, useful in image registration, and we examine the convergence properties of the registration process

Keywords

biomedical MRI; entropy; image registration; medical image processing; entropy estimates; high-dimensional probability mass function; image similarity measures; multimodal image registration; one-dimensional histogram; spatial information; Biomedical imaging; Convergence; Entropy; Histograms; Image registration; Laboratories; Mutual information; Noise measurement; Size measurement; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-9576-X

Type

conf

DOI

10.1109/ISBI.2006.1625047

Filename

1625047