2026-08-22T00:37:44Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/1300202026-01-14T01:12:02Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense
author
Sánchez Lara, Víctor
author
Lozano, Francisco Rafael
author
Huerga, Carlos
author
Martínez Gómez, Luis Carlos
author
García Pinto, Diego
2026-01-13T10:38:06Z
2026-01-13T10:38:06Z
2025-01-08
V. Sanchez-Lara, F.R. Lozano, C. Huerga, Luis C. Martinez-Gomez, D. Garcia-Pinto, X-ray phase contrast imaging in GAMOS, Physica Medica, Volume 142, 2026, 105716, ISSN 1120-1797, https://doi.org/10.1016/j.ejmp.2026.105716.
10.1016/j.ejmp.2026.105716
https://hdl.handle.net/20.500.14352/130020
https://doi.org/10.1016/j.ejmp.2026.105716
https://www.sciencedirect.com/science/article/pii/S1120179726000037
Objective: X-ray Phase Contrast Imaging (PCI) enhances image contrast for weakly attenuating materials and
has become increasingly relevant in biomedical and material science applications. The aim of this work is
to develop and verify a Monte Carlo framework capable of realistically simulating PCI phenomena, including
both refraction and wavefront propagation.
Methods: We have developed and integrated two complementary simulation modules within the GAMOS
(GEANT4-based Architecture for Medicine-Oriented Simulations) framework. The first models refraction effects
using the X-ray complex refractive index and Snell’s Law. The second constructs the complex wavefront from
the simulated photons and propagates it using the Fresnel formalism. Verification was carried out by simulating
interferometric setups such as Young’s double-slit experiment and the Talbot effect, as well as full imaging
configurations for PBI and Grating-Based Imaging (GBI).
Results: The Snell-based simulation accurately reproduces edge-enhancement features typical of high-Fresnel
number PBI. However, in regimes where diffraction and interference dominate, the wave model yields
significantly more accurate results. The agreement with theoretical predictions in all tests confirms the correct
implementation of wavefront construction and propagation.
Conclusions: This new simulation environment extends the MIMAC platform previously developed by our
group and enables realistic Monte Carlo simulations of PCI. The framework is well-suited for optimizing
imaging system design, developing reconstruction algorithms, or generating synthetic datasets for Deep
Learning. The combination of geometrical and wave-optical models allows flexible simulation of a wide range
of PCI setups under realistic physical conditions.
Code: https://github.com/PREDICO-Project/PCI-GAMOS
eng
Attribution-NonCommercial-NoDerivatives 4.0 International
X-ray phase contrast imaging in gamos
journal article
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8df142a2d2d08ddcbd542dc85af9256e
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Sanchez-Lara et al. (2026). X-Ray Phase-Contrast Imaging in GAMOS. Phys. Med.pdf