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Titel:

Linear Intensity-based Image Registration by Markov Random Fields and Discrete Optimization

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Zikic, D.; Glocker, B.; Kutter, O.; Groher, M.; Komodakis, N.; Kamen, A.; Paragios, N.; Navab, N.
Abstract:
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises from the fact that optimizing the energy associated with this problem requires a high-order MRF model. Currently, methods for optimizing such high-order models are less general, easy to use, and efficient, than methods for the popular second-order models. Therefore, we propose an approximation to the original energy by...     »
Stichworte:
Discrete Optimization
Zeitschriftentitel:
Medical Image Analysis
Jahr:
2010
Band / Volume:
In Press, Accepted Manuscript
Seitenangaben Beitrag:
-
Volltext / DOI:
doi:10.1016/j.media.2010.04.003
Print-ISSN:
1361-8415
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