Literature DB >> 24880377

Monte Carlo model of a polychromatic laboratory based edge illumination x-ray phase contrast system.

T P Millard1, M Endrizzi1, P C Diemoz1, C K Hagen1, A Olivo1.   

Abstract

A Monte Carlo model of a polychromatic laboratory based (coded aperture) edge illumination x-ray phase contrast imaging system has been developed and validated against experimental data. The ability for the simulation framework to be used to model two-dimensional images is also shown. The Monte Carlo model has been developed using the McXtrace engine and is polychromatic, i.e., results are obtained through the use of the full x-ray spectrum rather than an effective energy. This type of simulation can in future be used to model imaging of objects with complex geometry, for system prototyping, as well as providing a first step towards the development of a simulation for modelling dose delivery as a part of translating the imaging technique for use in clinical environments.

Mesh:

Year:  2014        PMID: 24880377     DOI: 10.1063/1.4873328

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  3 in total

1.  Large field of view, fast and low dose multimodal phase-contrast imaging at high x-ray energy.

Authors:  Alberto Astolfo; Marco Endrizzi; Fabio A Vittoria; Paul C Diemoz; Benjamin Price; Ian Haig; Alessandro Olivo
Journal:  Sci Rep       Date:  2017-05-19       Impact factor: 4.379

2.  Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry.

Authors:  Stefan Tessarini; Michael Karl Fix; Peter Manser; Werner Volken; Daniel Frei; Lorenzo Mercolli; Marco Stampanoni
Journal:  Sci Rep       Date:  2022-02-15       Impact factor: 4.379

3.  The effect of a variable focal spot size on the contrast channels retrieved in edge-illumination X-ray phase contrast imaging.

Authors:  A Astolfo; I Buchanan; T Partridge; G K Kallon; C K Hagen; P R T Munro; M Endrizzi; D Bate; A Olivo
Journal:  Sci Rep       Date:  2022-03-01       Impact factor: 4.996

  3 in total

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