Insights and simulation of metascintillator-based brain PET systems to enhance ToF capability

The integration of Time-of-Flight (ToF) information into Positron Emission Tomography (PET) image reconstruction enhances both signal-to-noise ratio and the localization of annihilation events. A critical component contributing to the accuracy of ToF-PET is the scintillator. To overcome the time resolution limitations in conventional scintillators, the metascintillator approach has been proposed. The metascintillator is an engineered composition of small units that combines and optimizes various features within a single scintillator heterostructure. In this work, metascintillator-based brain PET systems were simulated using the GATE toolkit and compared with designs based on bulk LYSO or BGO. Sensitivity, noise equivalent count rate (NECR) and scatter fraction were evaluated following NEMA guidelines. To match the peak sensitivity of a system utilizing a 15 mm bulk BGO, the metascintillator-based scanners using BGO/BaF 2 , BGO/EJ232, LYSO/BaF 2 and LYSO/EJ232 must possess thicknesses of 23.2 mm, 22.5 mm, 29.7 mm and 31.1 mm, respectively. With ToF gain, the scanner utilizing a 25 mm thick LYSO-EJ232 metascintillator exhibited the most promising NECR curve, peaking at 1180 cps at 1600 MBq. This work takes a significant step towards harnessing the information gain facilitated by the integration of metascintillator-based detectors in PET imaging.

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Publication Details

Journal
Nuclear Engineering and Technology
Published
2024-12-06
DOI
https://doi.org/10.1016/j.net.2024.11.037
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Insights and simulation of metascintillator-based brain PET systems to enhance ToF capability

Antonio J. González, Daniel Alexandre Baptista Bonifácio, Georgios Konstantinou, J. Benlloch et al.
Nuclear Engineering and Technology
Medical Imaging Techniques and Applications
article

Insights and simulation of metascintillator-based brain PET systems to enhance ToF capability

Antonio J. González, Daniel Alexandre Baptista Bonifácio, Georgios Konstantinou, J. Benlloch, Helio Massaharu Murata, Riccardo Latella, P. Lecoq
article en

Abstract

The integration of Time-of-Flight (ToF) information into Positron Emission Tomography (PET) image reconstruction enhances both signal-to-noise ratio and the localization of annihilation events. A critical component contributing to the accuracy of ToF-PET is the scintillator. To overcome the time resolution limitations in conventional scintillators, the metascintillator approach has been proposed. The metascintillator is an engineered composition of small units that combines and optimizes various features within a single scintillator heterostructure. In this work, metascintillator-based brain PET systems were simulated using the GATE toolkit and compared with designs based on bulk LYSO or BGO. Sensitivity, noise equivalent count rate (NECR) and scatter fraction were evaluated following NEMA guidelines. To match the peak sensitivity of a system utilizing a 15 mm bulk BGO, the metascintillator-based scanners using BGO/BaF 2 , BGO/EJ232, LYSO/BaF 2 and LYSO/EJ232 must possess thicknesses of 23.2 mm, 22.5 mm, 29.7 mm and 31.1 mm, respectively. With ToF gain, the scanner utilizing a 25 mm thick LYSO-EJ232 metascintillator exhibited the most promising NECR curve, peaking at 1180 cps at 1600 MBq. This work takes a significant step towards harnessing the information gain facilitated by the integration of metascintillator-based detectors in PET imaging.

Nuclear Engineering and TechnologyVol. 57(5)
Instituto de Radioproteção e Dosimetria (BR), Swiss Federal Institute of Metrology (CH), Instituut Gak (NL), Instituto de Instrumentación para Imagen Molecular (ES), National Nuclear Energy Commission (BR)
European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Financiadora de Estudos e Projetos, Horizon 2020 Framework Programme, European Research Council
Openalex Percentile: Top 61%
Medical Imaging Techniques and Applications
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