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Supervoxels for graph cuts-based deformable image registration using guided image filtering

Abstract:

We propose combining a supervoxel-based image representation with the concept of graph cuts as an efficient optimization technique for three-dimensional (3-D) deformable image registration. Due to the pixels/voxels-wise graph construction, the use of graph cuts in this context has been mainly limited to two-dimensional (2-D) applications. However, our work overcomes some of the previous limitations by posing the problem on a graph created by adjacent supervoxels, where the number of nodes in ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1117/1.JEI.26.6.061607

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Linacre College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More from this funder
Grant:
Digital Economy Programme grant number EP/G036861/1 (Oxford Centre for Doctoral Training in Healthcare Innovation) to AH
More from this funder
Grant:
BEX 0725/12-9 to AH
Publisher:
Society of Photo-Optical Instrumentation Engineers Publisher's website
Journal:
Journal of Electronic Imaging Journal website
Volume:
26
Issue:
6
Article number:
061607
Publication date:
2017-10-04
Acceptance date:
2017-09-07
DOI:
EISSN:
1560-229X
ISSN:
1017-9909
Source identifiers:
746745
Keywords:
Pubs id:
pubs:746745
UUID:
uuid:61ac5a4d-8156-4bbf-bf38-0dbbd2feaeb4
Local pid:
pubs:746745
Deposit date:
2017-11-22

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