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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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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author Murat, H.
Zulkifli, M.A.A.
Said, M.A.
Awang Kechik, M.
Tahir, D.
Abdul Karim, M.K.
author_facet Murat, H.
Zulkifli, M.A.A.
Said, M.A.
Awang Kechik, M.
Tahir, D.
Abdul Karim, M.K.
author_sort Murat, H.
building UPM Institutional Repository
collection Online Access
description 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 penalty β values within Q. Clear reconstruction algorithm. Methods: The study measured signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) using the Discovery MI PET/CT scanner and NEMA IQ phantom filled with the radiotracer fluorodeoxyglucose (18F-FDG). PET/CT scans were performed with and without TOF using β values of 100, 500, 1000, 1500, 2000, and 3000. Pixel intensity values were measured using ImageJ software, and SNR and CNR were calculated. Results: Results indicated that increasing β values improved SNR and CNR for both non-TOF and TOF images. At a β value of 100, SNR and CNR increased across all sphere sizes (10 mm, 13 mm, 17 mm, 22 mm, 28 mm, 37 mm) when comparing non-TOF and TOF images. However, β values of 500 or higher led to decreased SNR and CNR, particularly in larger spheres (22 mm, 28 mm, 37 mm), when TOF was utilized. Conclusion: These findings underscore the importance of optimizing β values and employing TOF reconstruction in PET/CT scans to achieve the highest possible image quality. Implications for practice: In clinical practice, practitioners should adjust β values in accordance with routine protocols, considering the size of the target region and the use of TOF reconstruction.
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spelling upm-1191782025-08-07T03:34:36Z http://psasir.upm.edu.my/id/eprint/119178/ Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm Murat, H. Zulkifli, M.A.A. Said, M.A. Awang Kechik, M. Tahir, D. Abdul Karim, M.K. 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 penalty β values within Q. Clear reconstruction algorithm. Methods: The study measured signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) using the Discovery MI PET/CT scanner and NEMA IQ phantom filled with the radiotracer fluorodeoxyglucose (18F-FDG). PET/CT scans were performed with and without TOF using β values of 100, 500, 1000, 1500, 2000, and 3000. Pixel intensity values were measured using ImageJ software, and SNR and CNR were calculated. Results: Results indicated that increasing β values improved SNR and CNR for both non-TOF and TOF images. At a β value of 100, SNR and CNR increased across all sphere sizes (10 mm, 13 mm, 17 mm, 22 mm, 28 mm, 37 mm) when comparing non-TOF and TOF images. However, β values of 500 or higher led to decreased SNR and CNR, particularly in larger spheres (22 mm, 28 mm, 37 mm), when TOF was utilized. Conclusion: These findings underscore the importance of optimizing β values and employing TOF reconstruction in PET/CT scans to achieve the highest possible image quality. Implications for practice: In clinical practice, practitioners should adjust β values in accordance with routine protocols, considering the size of the target region and the use of TOF reconstruction. W.B. Saunders Ltd 2025-01 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/119178/1/119178.pdf Murat, H. and Zulkifli, M.A.A. and Said, M.A. and Awang Kechik, M. and Tahir, D. and Abdul Karim, M.K. (2025) Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm. Radiography, 31 (1). pp. 343-349. ISSN 1078-8174; eISSN: 1532-2831 https://linkinghub.elsevier.com/retrieve/pii/S1078817424003729 10.1016/j.radi.2024.12.011
spellingShingle Murat, H.
Zulkifli, M.A.A.
Said, M.A.
Awang Kechik, M.
Tahir, D.
Abdul Karim, M.K.
Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm
title Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm
title_full Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm
title_fullStr Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm
title_full_unstemmed Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm
title_short Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction algorithm
title_sort optimizing time-of-flight of pet/ct image quality via penalty β value in bayesian penalized likelihood reconstruction algorithm
url http://psasir.upm.edu.my/id/eprint/119178/
http://psasir.upm.edu.my/id/eprint/119178/
http://psasir.upm.edu.my/id/eprint/119178/
http://psasir.upm.edu.my/id/eprint/119178/1/119178.pdf