Statistical Shape Analysis of Large Datasets Based on Diffeomorphic Iterative Centroids

In this paper, we propose an approach for template-based shape analysis of large datasets, using diffeomorphic centroids as atlas shapes. Diffeomorphic centroid methods fit in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework and use kernel metrics on currents to quantify surface...

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Dades bibliogràfiques
Publicat a:Front Neurosci
Autors principals: Cury, Claire, Glaunès, Joan A., Toro, Roberto, Chupin, Marie, Schumann, Gunter, Frouin, Vincent, Poline, Jean-Baptiste, Colliot, Olivier
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2018
Matèries:
Neuroscience
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6241313/
https://ncbi.nlm.nih.gov/pubmed/30483045
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00803
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