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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Detalles Bibliográficos
Autores principales: Ashburner, John, Friston, Karl J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2011
Materias:
Technical Note
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

Internet

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

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