Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation

Registration is a core component of many imaging pipelines. In case of clinical scans, with lower resolution and sometimes substantial motion artifacts, registration can produce poor results. Visual assessment of registration quality in large clinical datasets is inefficient. In this work, we propos...

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Detalhes bibliográficos
Publicado no:Med Image Anal
Main Authors: Dubost, Florian, de Bruijne, Marleen, Nardin, Marco, Dalca, Adrian V., Donahue, Kathleen L., Giese, Anne-Katrin, Etherton, Mark R., Wu, Ona, de Groot, Marius, Niessen, Wiro, Vernooij, Meike, Rost, Natalia S., Schirmer, Markus D.
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7275913/
https://ncbi.nlm.nih.gov/pubmed/32339896
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2020.101698
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