Penalized-Likelihood PET Image Reconstruction Using Similarity-Driven Median Regularization

In this paper, we present a new regularized image reconstruction method for positron emission tomography (PET), where an adaptive weighted median regularizer is used in the context of a penalized-likelihood framework. The motivation of our work is to overcome the limitation of the conventional media...

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Detalles Bibliográficos
Autores principales: Ren, Xue, Jung, Ji Eun, Zhu, Wen, Lee, Soo-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788485/
https://www.ncbi.nlm.nih.gov/pubmed/35076630
http://dx.doi.org/10.3390/tomography8010013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788485/
https://www.ncbi.nlm.nih.gov/pubmed/35076630
http://dx.doi.org/10.3390/tomography8010013

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