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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Academic Press
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3221052/ https://www.ncbi.nlm.nih.gov/pubmed/21216294 http://dx.doi.org/10.1016/j.neuroimage.2010.12.049 |