DocumentCode
429294
Title
Gradient based nonuniform subsampling for information-theoretic alignment methods
Author
Sabuncu, Mert R. ; Ramadge, Peter J.
Author_Institution
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Volume
1
fYear
2004
fDate
1-5 Sept. 2004
Firstpage
1683
Lastpage
1686
Abstract
We examine the computation of information-theoretic image registration metrics and propose two (deterministic and stochastic) nonuniform subsampling methods for improving the efficiency. The proposed schemes attempt to use only the most relevant information as the basis of the computation. Both methods are shown to yield considerable improvement over the current practice of uniform subsampling. Theoretical and experimental evidence is provided.
Keywords
deterministic algorithms; image registration; information theory; medical image processing; stochastic processes; deterministic nonuniform subsampling methods; gradient based nonuniform subsampling; image registration; information-theoretic alignment methods; stochastic nonuniform subsampling methods; Computational efficiency; Entropy; Image registration; Image sampling; Magnetic resonance; Magnetic resonance imaging; Mutual information; Plugs; Stochastic processes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-8439-3
Type
conf
DOI
10.1109/IEMBS.2004.1403507
Filename
1403507
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