- Abstract:
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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 ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
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(pdf, 9.4mb)
-
- Publisher copy:
- 10.1117/1.JEI.26.6.061607
-
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- Grant:
- C5255/A16466 to A.S., B.P., J.A.S., and V.G.
- Grant:
- Digital Economy Programme grant number EP/G036861/1 (Oxford Centre for Doctoral Training in Healthcare Innovation) to AH
- Publisher:
- Society of Photo-Optical Instrumentation Engineers Publisher's website
- Journal:
- Journal of Electronic Imaging Journal website
- Volume:
- 26
- Issue:
- 6
- Pages:
- Article: 061607
- Publication date:
- 2017-10-04
- Acceptance date:
- 2017-09-07
- DOI:
- EISSN:
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1560-229X
- ISSN:
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1017-9909
- Pubs id:
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pubs:746745
- URN:
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uri:61ac5a4d-8156-4bbf-bf38-0dbbd2feaeb4
- UUID:
-
uuid:61ac5a4d-8156-4bbf-bf38-0dbbd2feaeb4
- Local pid:
- pubs:746745
- Copyright holder:
- Society of Photo-Optical Instrumentation Engineers
- Copyright date:
- 2017
- Notes:
-
Copyright © 2017 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for
personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial
purposes, or modification of the content of the paper are prohibited.
Journal article
Supervoxels for graph cuts-based deformable image registration using guided image filtering
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+ CRUK and EPSRC Cancer Imaging Centre in
Oxford
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+ Research Council UK
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