HYPR4D kernel method on TOF PET data with validations including image-derived input function

BACKGROUND: Positron emission tomography (PET) images are typically noisy especially in dynamic imaging where the PET data are divided into a number of short temporal frames often with a low number of counts. As a result, image features such as contrast and time–activity curves are highly variable....

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Detalles Bibliográficos
Autores principales: Cheng, Ju-Chieh Kevin, Bevington, Connor W. J., Sossi, Vesna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672183/
https://www.ncbi.nlm.nih.gov/pubmed/36394674
http://dx.doi.org/10.1186/s40658-022-00507-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672183/
https://www.ncbi.nlm.nih.gov/pubmed/36394674
http://dx.doi.org/10.1186/s40658-022-00507-6

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