Evaluation of a Bayesian penalized likelihood reconstruction algorithm for low-count clinical 18F-FDG PET/CT

Evaluation of a Bayesian penalized likelihood reconstruction algorithm for low-count clinical 18F-FDG PET/CT

Abstract Background Recently, a Bayesian penalized likelihood (BPL) reconstruction algorithm was introduced for a commercial PET/CT with the potential to improve image quality. We compared the performance of this BPL algorithm with conventional reconstruction algorithms under realistic clinical cond...

Full description

Bibliographic Details
Main Authors: Joost te Riet, Sjoerd Rijnsdorp, Mark J. Roef, Albert J. Arends
Format: Article
Language:English
Published: SpringerOpen 2019-12-01
Series:EJNMMI Physics
Subjects:
Bayesian penalized likelihood
NEMA image quality phantom
Micro Hollow Sphere phantom
image quality
image reconstruction
optimization
Online Access:https://doi.org/10.1186/s40658-019-0262-y

Internet

https://doi.org/10.1186/s40658-019-0262-y

Similar Items