PMST: A custom Python-based Monte Carlo Simulation Tool for research and system development in portable pinhole gamma cameras

A custom Python-based Monte Carlo Simulation Tool (PMST) has been developed to assist in the development of portable gamma cameras or the generation of simulated gamma image datasets, e.g. for deep learning. The simulation tool has been validated by comparison between theoretical and experimental re...

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Bibliographic Details
Published in:Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Vol. 1061; p. 169161
Main Authors: Jiang, Yangfan, Bugby, Sarah L., Lees, John E.
Format: Journal Article
Language:English
Published: Elsevier B.V 01.04.2024
Subjects:
Detector modelling
Gamma detector
Monte Carlo Simulation
Portable gamma camera
Detector modelling
Monte Carlo Simulation
Portable gamma camera
Gamma detector
ISSN:0168-9002
Online Access:Get full text
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Summary:A custom Python-based Monte Carlo Simulation Tool (PMST) has been developed to assist in the development of portable gamma cameras or the generation of simulated gamma image datasets, e.g. for deep learning. The simulation tool has been validated by comparison between theoretical and experimental results. PMST includes common attenuation interactions such as the photoelectric effect and Compton and Rayleigh scattering and fluorescence and non-radiative secondary effects. It allows users to simulate and visualise a gamma imaging system with multiple absorbers, flexible geometry, and different materials.
ISSN:0168-9002
DOI:10.1016/j.nima.2024.169161