Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images

BACKGROUND: Liver alignment between series/exams is challenged by dynamic morphology or variability in patient positioning or motion. Image registration can improve image interpretation and lesion co-localization. We assessed the performance of a convolutional neural network algorithm to register cr...

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Detalhes bibliográficos
Publicado no:Eur Radiol Exp
Main Authors: Hasenstab, Kyle A., Cunha, Guilherme Moura, Higaki, Atsushi, Ichikawa, Shintaro, Wang, Kang, Delgado, Timo, Brunsing, Ryan L., Schlein, Alexandra, Bittencourt, Leornado Kayat, Schwartzman, Armin, Fowler, Katie J., Hsiao, Albert, Sirlin, Claude B.
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2019
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6815316/
https://ncbi.nlm.nih.gov/pubmed/31655943
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41747-019-0120-7
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