<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-08-22T00:38:34Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/130020" metadataPrefix="rdf">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/130020</identifier><datestamp>2026-01-14T01:12:02Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
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      <dc:title>X-ray phase contrast imaging in gamos</dc:title>
      <dc:creator>Sánchez Lara, Víctor</dc:creator>
      <dc:creator>Lozano, Francisco Rafael</dc:creator>
      <dc:creator>Huerga, Carlos</dc:creator>
      <dc:creator>Martínez Gómez, Luis Carlos</dc:creator>
      <dc:creator>García Pinto, Diego</dc:creator>
      <dc:description>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</dc:description>
      <dc:date>2026-01-13T10:38:06Z</dc:date>
      <dc:date>2026-01-13T10:38:06Z</dc:date>
      <dc:date>2025-01-08</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>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.</dc:identifier>
      <dc:identifier>10.1016/j.ejmp.2026.105716</dc:identifier>
      <dc:identifier>https://hdl.handle.net/20.500.14352/130020</dc:identifier>
      <dc:identifier>https://doi.org/10.1016/j.ejmp.2026.105716</dc:identifier>
      <dc:identifier>https://www.sciencedirect.com/science/article/pii/S1120179726000037</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123390OB-C22/ES/EXPERIMENTOS PRECLINICOS PARA EL DESARROLLO Y OPTIMIZACION DE NUEVAS MODALIDADES DE IMAGEN PARA CANCER DE MAMA/</dc:relation>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
      <dc:publisher>Elsevier</dc:publisher>
   </ow:Publication>
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