Does the beta regularization parameter of bayesian penalized likelihood reconstruction always affect the quantification accuracy and image quality of positron emission tomography computed tomography?

PURPOSE: This study aims to provide a detailed investigation on the noise penalization factor in Bayesian penalized likelihood (BPL)‐based algorithm, with the utilization of partial volume effect correction (PVC), so as to offer the suitable beta value and optimum standardized uptake value (SUV) par...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Zhifang, Guo, Binwei, Huang, Bin, Zhao, Bin, Qin, Zhixing, Hao, Xinzhong, Liang, Meng, Xie, Jun, Li, Sijin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984479/
https://www.ncbi.nlm.nih.gov/pubmed/33683004
http://dx.doi.org/10.1002/acm2.13129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984479/
https://www.ncbi.nlm.nih.gov/pubmed/33683004
http://dx.doi.org/10.1002/acm2.13129

Ejemplares similares