A general fast registration framework by learning deformation-appearance correlation
In this paper, we propose a general framework for performance improvement of the current state-of-the-art registration algorithms in terms of both accuracy and computation time. The key concept involves rapid prediction of a deformation field for registration initialization, which is achieved by a s...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 4 vom: 15. Apr., Seite 1823-33
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| 1. Verfasser: |
Kim, Minjeong
(VerfasserIn) |
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| Weitere Verfasser: |
Wu, Guorong,
Yap, Pew-Thian,
Shen, Dinggang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2012
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't |
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