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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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W.B. Saunders Ltd
2025
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| 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. |
| first_indexed | 2025-11-15T14:43:46Z |
| format | Article |
| id | upm-119178 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:43:46Z |
| publishDate | 2025 |
| publisher | W.B. Saunders Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |