Efficient full Monte Carlo modelling and multi-energy generative model development of an advanced X-ray device

Efficient full Monte Carlo modelling and multi-energy generative model development of an advanced X-ray device

Monte Carlo (MC) simulations of X-ray image devices require splitting the simulation into two parts (i.e. the generation of x-rays and the actual imaging). The X-ray production remains unchanged for repeated imaging and can thus be stored in phase space (PhS) files and used for subsequent MC simulat...

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Bibliographic Details
Main Authors: Hermann Fuchs, Lukas Zimmermann, Niklas Reisz, Markus Zeilinger, Alexander Ableitinger, Dietmar Georg, Peter Kuess
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Zeitschrift für Medizinische Physik
Subjects:
X-ray
Monte Carlo
Neuronal networks
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0939388922000617

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http://www.sciencedirect.com/science/article/pii/S0939388922000617

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