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

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posted on 2024-03-11, 14:04 authored by Yangfan Jiang, Sarah BugbySarah Bugby, John E Lees
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.

Funding

Loughborough University

STFC Cancer Diagnosis Network+

Science and Technology Facilities Council

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History

School

  • Science

Department

  • Physics

Published in

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Volume

1061

Publisher

Elsevier BV

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Acceptance date

2024-02-07

Publication date

2024-02-08

Copyright date

2024

ISSN

0168-9002

eISSN

1872-9576

Language

  • en

Depositor

Dr Sarah Bugby. Deposit date: 8 March 2024

Article number

169161

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