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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Bibliografiska uppgifter
I publikationen:Front Neurosci
Huvudupphovsmän: Cury, Claire, Glaunès, Joan A., Toro, Roberto, Chupin, Marie, Schumann, Gunter, Frouin, Vincent, Poline, Jean-Baptiste, Colliot, Olivier
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2018
Ämnen:
Neuroscience
Länkar: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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