Semi-monolithic meta-scintillator simulation proofof-concept, combining accurate DOI and TOF
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Metascintllators arrangements have shown to
achieve an equivalent CTR of 200 ps for BGO-plastic and 140 ps
for LYSO-plastic sets. In this paper, we examine a novel
architecture: The idea is to slice a slow scintillator (BGO or LYSO)
into thin slabs read out by an array of SiPM in the semimonolithic
manner providing depth-of-interaction (DOI) information; and
interleave them with thin segmented fast scintillators (plastic
EJ232 or EJ232Q) read out by single SiPMs as in pixelated
designs, providing pixelated level coincidence time resolution
(CTR), in what we call a semi-monolithic meta-scintillator
(SMMS). We thus combine layers of slow scintillator of dimension
0.3x25.5x(15 or 24) mm3 and layers of fast scintillator of
dimensions 0.1x3.1x(15 or 24) mm3 in a Monte Carlo Gate
platform to investigate the performance of this new type of semimonolithic detector. It is shown that the time resolution of SMMS
is equivalent to that of single metapixels of the same configuration.
In particular, 15 mm deep LYSO based SMMS led to CTR 121 ps,
before implementation of timewalk correction (107 ps CTR). Same
dimensions for BGO based SMMS led to CTR of 241 ps, a 15%
deviation from metapixel experimental results. Further to this
timing study, we expand the study to application of neural
networks on the photon distributions and timestamps recorded at
the SiPM array. This leads to determination of the DOI with <
3mm precision and 0.85 confidence level in the best scenario and
more than 2 standard deviations precision in reconstructing
energy sharing and energy of interactions. Overall, neural
network prediction capabilities, taking advantage of enhanced
understanding of the photon distribution, exceed those of the
standard energy calculation through addition of numbers of
detected photons or any analytic approach on energy sharing.
Como referenciar
KONSTANTINOU, GEORGIOS; ZHANG, LEI; GONZALEZ, ANTONIO J.; LECOQ, PAUL; BONIFACIO, DANIEL; LATELLA, RICCARDO; BENLLOCH, JOSE M. Semi-monolithic meta-scintillator simulation proofof-concept, combining accurate DOI and TOF. TechRxiv, p. 1-10, 2023. DOI: 10.36227/techrxiv.22708045.v. Disponível em: https://repositorio.ipen.br/handle/123456789/50059. Acesso em: 30 Jun 2026.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.