Millard, TP;
Endrizzi, M;
Diemoz, PC;
Hagen, CK;
Olivo, A;
(2014)
Monte Carlo model of a polychromatic laboratory based edge illumination x-ray phase contrast system.
Review of Scientific Instruments
, 85
(5)
, Article 053702. 10.1063/1.4873328.
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Abstract
A Monte Carlo model of a polychromatic laboratory based (coded aperture) edge illumination xray 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.
| Type: | Article |
|---|---|
| Title: | Monte Carlo model of a polychromatic laboratory based edge illumination x-ray phase contrast system |
| Location: | USA |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1063/1.4873328 |
| Publisher version: | http://dx.doi.org/10.1063/1.4873328 |
| Language: | English |
| Additional information: | Copyright (2014) American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in A., Review of Scientific Instruments, 85, 053702 (2014)and may be found at http://dx.doi.org/10.1063/1.4873328. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1428698 |
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