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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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Detalles Bibliográficos
Autores principales:	Cui, Jianan, Liu, Xin, Wang, Yile, Liu, Huafeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608245/ https://www.ncbi.nlm.nih.gov/pubmed/28934254 http://dx.doi.org/10.1371/journal.pone.0184667

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