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Abstrakty
The positronium lifetime imaging (PLI) reconstruction is a technique used in time-of-flight (TOF) positron emission tomography (PET) imaging that involves measuring the lifespan of positronium, which is a metastable electron-positron pair that arises when a PET molecule releases a positron, prior to its annihilation. We have previously developed a maximum likelihood (ML) algorithm for PLI reconstruction and demonstrated that it can generate quantitatively accurate lifetime images for a 570 ps (pico-seconds) TOF PET system. In this study, we conducted further investigations into the statistical properties of the algorithm, including the variability of the reconstruction results, the sensitivity of the algorithm to the number of acquired PLI events and its robustness to hyperparameter choices. Our findings indicate that the proposed ML method produces sufficiently stable lifetime images to enable reliable distinction of regions of interest. Moreover, the number of PLI events required to produce quantitatively accurate lifetime images is computationally plausible. These results demonstrate the potential of our ML algorithm for advancing the capabilities of TOF PET imaging.
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Tom
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1--8
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
autor
- Department of Mathematics, University of Arizona, Tucson, USA
autor
- Department of Agricultural and Biosystems Engineering, University of Arizona, Tucson, USA
autor
- Department of Radiology, University of Chicago, Chicago, USA
autor
- Department of Statistics and Data Science, University of Central Florida, Orlando, USA
Bibliografia
- 1. Alavi A, Werner TJ, Stępień EŁ, Moskal P. Unparalleled and revolutionary impact of pet imaging on research and day to day practice of medicine. Bio-Algorithms and Med-Systems 2021;17(4):203-12.
- 2. Moskal P. Positronium imaging. In 2019 IEEE Nuclear Science Symposium (NSS) and Medical Imaging Conference (MIC), Oct 2019; Manchester, UK; 2019. p. 1-3.
- 3. Moskal P, Kisielewska D, Shopa RY, Bura Z, Chhokar J, Curceanu C, et al. Performance assessment of the 2 gamma positronium imaging with the total-body PET scanners. EJNMMI Phys 2020;7(1):16.
- 4. Moskal P, Kisielewska D, Curceanu C, Czerwiński E, Dulski K, Gajos A, et al. Feasibility study of the positronium imaging with the j-pet tomograph. Phys. Med. Biol. 2019;64(5):055017.
- 5. Moskal P, Dulski K, Chung N, Curceanu C, Czerwiński E, Dadgar M, et al. Positronium imaging with the novel multiphoton pet scanner. Sci Adv 2021;7(42):eabh4394.
- 6. Harpen M. Positronium: Review of symmetry, conserved quantities and decay for the radiological physicist. Med Phys 2004;31:57-61.
- 7. Bass SD, Mariazzi S, Moskal P, Stępień E. Colloquium: Positronium physics and biomedical applications. Rev. Mod. Phys. 2023;95:021002.
- 8. Moskal P, Kubicz E, Grudzień G, Czerwiński E, Dulski K, Leszczyński B, et al. Developing a novel positronium biomarker for cardiac myxoma imaging. EJNMMI Phys 2023;10(1):22.
- 9. Karp JS, Viswanath V, Geagan MJ, Muehllehner G, Pantel AR, Parma MJ, et al. PennPET Explorer: Design and preliminary performance of a whole-body imager. J Nucl Med 2020;61(1):136-43.
- 10. Spencer BA, Berg E, Schmall JP, Omidvari N, Leung EK, Abdelhafez YG, et al.: Performance evaluation of the uexplorer total-body pet/ct scanner based on nema nu 2-2018 with additional tests to characterize pet scanners with a long axial field of view. J. Nucl. Med. 2021;62(6):861-70.
- 11. Alberts I, Hünermund J-N, Prenosil G, Mingels C, Bohn K. Clinical performance of long axial field of view pet/ct: a head-to-head intraindividual comparison of the biograph vision quadra with the biograph vision pet/ ct. EJNMMI 2021;48:1-10.
- 12. Huang H-H, Zhu Z, Booppasiri S, Chen Z, Pang S, et al. A statistical reconstruction algorithm for positronium lifetime imaging using time-of-flight positron emission tomography. 2023;arXiv preprint: https://arxiv. org/abs/2206.06463.
- 13. Qi J, Huang B. Positronium lifetime image reconstruction for tof pet. IEEE Trans Med Imaging 2022;41(10):2848-55.
- 14. Shopa RY, Dulski K. Multi-photon time-of-flight mlem application for the positronium imaging in j-pet. Bio-Algorithms and Med-Systems 2022;18(1):135-43.
- 15. Grushka E. Characterization of exponentially modified gaussian peaks in chromatography. Anal. Chem. 1972;44(11):1733-8. PMID: 22324584.
- 16. Shepp LA, Vardi Y. Maximum likelihood reconstruction for emission tomography. IEEE Trans. Med. 1982;1(2):113-22.
- 17. Raczyński L, Wiślicki W, Klimaszewski K, Krzemień W, Kopka P, Kowalski P, et al. 3d tof-pet image reconstruction using total variation regularization. Phys. Med. 2020;80:230-42.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
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