Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation

PURPOSE: We assess the performance of a recurrent frame generation algorithm for prediction of late frames from initial frames in dynamic brain PET imaging. METHODS: Clinical dynamic (18)F‐DOPA brain PET/CT studies of 46 subjects with ten folds cross‐validation were retrospectively employed. A novel...

Descripción completa

Detalles Bibliográficos
Autores principales: Sanaat, Amirhossein, Mirsadeghi, Ehsan, Razeghi, Behrooz, Ginovart, Nathalie, Zaidi, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518550/
https://www.ncbi.nlm.nih.gov/pubmed/34174787
http://dx.doi.org/10.1002/mp.15063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518550/
https://www.ncbi.nlm.nih.gov/pubmed/34174787
http://dx.doi.org/10.1002/mp.15063

Ejemplares similares