Assessing the impact of different penalty factors of the Bayesian reconstruction algorithm Q.Clear on in vivo low count kinetic analysis of [11C]PHNO brain PET-MR studies

Assessing the impact of different penalty factors of the Bayesian reconstruction algorithm Q.Clear on in vivo low count kinetic analysis of [11C]PHNO brain PET-MR studies

Abstract Introduction Q.Clear is a Bayesian penalised likelihood (BPL) reconstruction algorithm available on General Electric (GE) Positron Emission Tomography (PET)-Computed Tomography (CT) and PET-Magnetic Resonance (MR) scanners. This algorithm is regulated by a β value which acts as a noise pena...

Full description

Bibliographic Details
Main Authors: Daniela Ribeiro, William Hallett, Oliver Howes, Robert McCutcheon, Matthew M. Nour, Adriana A. S. Tavares
Format: Article
Language:English
Published: SpringerOpen 2022-02-01
Series:EJNMMI Research
Subjects:
PET-MR
[11C]PHNO
Reconstruction
Bayesian
Neuroimaging
Online Access:https://doi.org/10.1186/s13550-022-00883-1

Internet

https://doi.org/10.1186/s13550-022-00883-1

Similar Items