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Deep reconstruction model for dynamic PET images

Accurate and robust tomographic reconstruction from dynamic positron emission tomography (PET) acquired data is a difficult problem. Conventional methods, such as the maximum likelihood expectation maximization (MLEM) algorithm for reconstructing the activity distribution-based on individual frames,...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Cui, Jianan, Liu, Xin, Wang, Yile, Liu, Huafeng
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5608245/
https://ncbi.nlm.nih.gov/pubmed/28934254
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0184667
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