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Performance Evaluation of the Philips Vereos PET System via Monte Carlo Simulation in GATE Based on NEMA NU 2-2018 Standards

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The objective of this project is to evaluate and analyze the physical performance of the Philips Vereos PET system through a series of standard tests defined by the NEMA NU 2-2018 protocol. This work was co-supervised and carried out in collaboration with the Department of Nuclear MedicineRadiopharmacology at the Champalimaud Foundation, where the PET scanner used in this work is installed. The scanner was modelled using the GATE simulation toolkit to enable accurate virtual replication of the system, supporting simulation-based studies for personalized dosimetry and patientspecific imaging protocols. Spatial resolution, sensitivity, scatter fraction and count rate performance were assessed. Specifically, spatial resolution was measured using an F 18 point-source. System sensitivity was calculated from acquisitions of an F 18 line source inside aluminum tubes of varying thickness. Assessment of count rate performance was based on measurements of an F 18 line source inside a 20 cm diameter polyethylene cylinder. The measured spatial resolutions at a 1 cm radial offset were 4.2 mm FWHM in the transaxial direction and 4.1 mm FWHM in the axial direction. At a 10 cm radial offset, the spatial resolutions were 4.4 mm (axial), 4.3 mm (transverse tangential), and 4.4 mm (transverse radial). At a 20 cm radial offset, a further degradation was observed, with spatial resolutions of 4.8 mm (axial), 5.1 mm (transverse tangential), and 5.8 mm (transverse radial). The average sensitivity was 5147 cps/MBq. A peak NEC rate of 173.35 kcps was measured at an activity concentration of 52 kBq/mL. The scatter fraction at peak NEC rate was 35.92%. In conclusion, the proposed Monte Carlo model was validated and can be used for numerous studies such as optimizing acquisition parameters, reconstruction algorithms, personalized dosimetry and patient-specific imaging protocols.

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Tese de Mestrado, Engenharia Biomédica e Biofísica, 2025, Universidade de Lisboa, Faculdade de Ciências

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GATE Monte Carlo PET Philips Vereos NEMA NU2-2018 Performance evaluation

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