Improved image reconstruction of (89)Zr-immunoPET studies using a Bayesian penalized likelihood reconstruction algorithm

PURPOSE: The aim of this study was to evaluate the use of a Bayesian penalized likelihood reconstruction algorithm (Q.Clear) for (89)Zr-immunoPET image reconstruction and its potential to improve image quality and reduce the administered activity of (89)Zr-immunoPET tracers. METHODS: Eight (89)Zr-im...

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Detalles Bibliográficos
Autores principales: Kirchner, Julian, O’Donoghue, Joseph A., Becker, Anton S., Ulaner, Gary A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815860/
https://www.ncbi.nlm.nih.gov/pubmed/33469848
http://dx.doi.org/10.1186/s40658-021-00352-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815860/
https://www.ncbi.nlm.nih.gov/pubmed/33469848
http://dx.doi.org/10.1186/s40658-021-00352-z

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