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Diffeomorphic registration using geodesic shooting and Gauss–Newton optimisation
This paper presents a nonlinear image registration algorithm based on the setting of Large Deformation Diffeomorphic Metric Mapping (LDDMM), but with a more efficient optimisation scheme — both in terms of memory required and the number of iterations required to reach convergence. Rather than perfor...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Academic Press
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3221052/ https://ncbi.nlm.nih.gov/pubmed/21216294 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2010.12.049 |
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