Noise reduction using a Bayesian penalized-likelihood reconstruction algorithm on a time-of-flight PET-CT scanner

PURPOSE: Q.Clear is a block sequential regularized expectation maximization (BSREM) penalized-likelihood reconstruction algorithm for PET. It tries to improve image quality by controlling noise amplification during image reconstruction. In this study, the noise properties of this BSREM were compared...

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Detalles Bibliográficos
Autores principales: Caribé, Paulo R. R. V., Koole, M., D’Asseler, Yves, Van Den Broeck, B., Vandenberghe, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904688/
https://www.ncbi.nlm.nih.gov/pubmed/31823084
http://dx.doi.org/10.1186/s40658-019-0264-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904688/
https://www.ncbi.nlm.nih.gov/pubmed/31823084
http://dx.doi.org/10.1186/s40658-019-0264-9

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