SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images

We introduce a strategy for learning image registration without acquired imaging data, producing powerful networks agnostic to contrast introduced by magnetic resonance imaging (MRI). While classical registration methods accurately estimate the spatial correspondence between images, they solve an op...

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Detalles Bibliográficos
Autores principales: Hoffmann, Malte, Billot, Benjamin, Greve, Douglas N., Iglesias, Juan Eugenio, Fischl, Bruce, Dalca, Adrian V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891043/
https://www.ncbi.nlm.nih.gov/pubmed/34587005
http://dx.doi.org/10.1109/TMI.2021.3116879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891043/
https://www.ncbi.nlm.nih.gov/pubmed/34587005
http://dx.doi.org/10.1109/TMI.2021.3116879

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