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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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Hlavní autoři: Ashburner, John, Friston, Karl J.
Médium: Artigo
Jazyk:Inglês
Vydáno: Academic Press 2011
Témata:
On-line přístup: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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