Optimization of Q.Clear reconstruction for dynamic 18F PET imaging

Optimization of Q.Clear reconstruction for dynamic 18F PET imaging

Abstract Background Q.Clear, a Bayesian penalized likelihood reconstruction algorithm, has shown high potential in improving quantitation accuracy in PET systems. The Q.Clear algorithm controls noise during the iterative reconstruction through a β penalization factor. This study aimed to determine t...

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Bibliographic Details
Main Authors: Elisabeth Kirkeby Lysvik, Lars Tore Gyland Mikalsen, Mona-Elisabeth Rootwelt-Revheim, Kyrre Eeg Emblem, Trine Hjørnevik
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:EJNMMI Physics
Subjects:
Dynamic PET
Quantitation
Recovery coefficient
β-factor
Q.Clear
Online Access:https://doi.org/10.1186/s40658-023-00584-1

Internet

https://doi.org/10.1186/s40658-023-00584-1

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