Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm

Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm

Introduction: Optimizing the image quality of Positron Emission Tomography/Computed Tomography (PET/CT) systems is crucial for effective monitoring, diagnosis, and treatment planning in oncology. This study evaluates the impact of time-of-flight (TOF) on PET/CT performance, focusing on varying penal...

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Bibliographic Details
Main Authors: Murat, H., Zulkifli, M.A.A., Said, M.A., Awang Kechik, M., Tahir, D., Abdul Karim, M.K.
Format: Article
Language:English
Published: W.B. Saunders Ltd 2025
Online Access:http://psasir.upm.edu.my/id/eprint/119178/
http://psasir.upm.edu.my/id/eprint/119178/1/119178.pdf

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