PET Prototype Based on Scintillation Detectors GAGG-SiPM Coupled to 32-Channel Petiroc2A Chip

We present an early-stage prototype of a positron emission tomograph (PET) based on 3 × 3 × 20 mm GAGG(Ce) scintillators optically coupled to 3 × 3 mm silicon photomultipliers (SiPMs) (Onsemi fc30035-smt). The detectors are read out by a Weeroc 32-channel Petiroc2A chip, allowing for precise charge and time measurements and designed specifically for SiPMs readout. In the report, the energy and time resolutions of the system measured with Ti-44 source are presented, the imaging capabilities of the system are discussed.

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Publication Details

Journal
Physics of Particles and Nuclei Letters
Published
2024-08-01
DOI
https://doi.org/10.1134/s1547477124701164
Primary Topic
Medical Imaging Techniques and Applications
Type
article
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article

PET Prototype Based on Scintillation Detectors GAGG-SiPM Coupled to 32-Channel Petiroc2A Chip

Filipp Dubinin, G. Dolganov, А. Д. Конотоп, A. Zhurkina et al.
Physics of Particles and Nuclei Letters
Medical Imaging Techniques and Applications
article

PET Prototype Based on Scintillation Detectors GAGG-SiPM Coupled to 32-Channel Petiroc2A Chip

Filipp Dubinin, G. Dolganov, А. Д. Конотоп, A. Zhurkina, N. I. Boyko
article en

Abstract

We present an early-stage prototype of a positron emission tomograph (PET) based on 3 × 3 × 20 mm GAGG(Ce) scintillators optically coupled to 3 × 3 mm silicon photomultipliers (SiPMs) (Onsemi fc30035-smt). The detectors are read out by a Weeroc 32-channel Petiroc2A chip, allowing for precise charge and time measurements and designed specifically for SiPMs readout. In the report, the energy and time resolutions of the system measured with Ti-44 source are presented, the imaging capabilities of the system are discussed.

Physics of Particles and Nuclei LettersVol. 21(4)
P.N. Lebedev Physical Institute of the Russian Academy of Sciences (RU), Kurchatov Institute (RU), National Research Nuclear University MEPhI (RU)
Affordable and clean energy
Openalex Percentile: Top 78%
Medical Imaging Techniques and Applications
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