X-ray simulations with gVXR as a useful tool for education, data analysis, set-up of CT scans, and scanner development
Paper in proceeding, 2024
gVirtualXray (gVXR) is an open-source framework that relies on the Beer-Lambert law to simulate X-ray images in real time on a graphics processor unit (GPU) using triangular meshes. A wide range of programming languages is supported (C/C++, Python, R, Ruby, Tcl, C#, Java, and GNU Octave). Simulations generated with gVXR have been benchmarked with clinically realistic phantoms (i.e. complex structures and materials) using Monte Carlo (MC) simulations, real radiographs and real digitally reconstructed radiographs (DRRs), and X-ray computed tomography (CT). It has been used in a wide range of applications, including real-time medical simulators, proposing a new densitometric radiographic modality in clinical imaging, studying noise removal techniques in fluoroscopy, teaching particle physics and X-ray imaging to undergraduate students in engineering, and XCT to masters students, predicting image quality and artifacts in material science, etc. gVXR has also been used to produce a high number of realistic simulated images in optimization problems and to train machine learning algorithms. This paper presents applications of gVXR related to XCT.
GPU programming
Simulation
Digital twinning
Computed tomography
X-ray imaging
Author
Franck P. Vidal
Bangor University
Science and Technology Facilities Council (STFC)
Shaghayegh Afshari
National Taiwan University
Sharif Ahmed
Diamond Light Source
Carolyn Atkins
Royal Observatory
Éric Béchet
University of Liège
Alberto Corbí Bellot
University of La Rioja
Stefan Bosse
Universität Koblenz
University of Siegen
Younes Chahid
Royal Observatory
Cheng Ying Chou
National Taiwan University
Robert Culver
Manufacturing Technology Centre (MTC)
Lewis Dixon
Bangor University
Johan Friemann
Chalmers, Industrial and Materials Science, Material and Computational Mechanics
Amin Garbout
University of Manchester
Clémentine Hatton
Scalian
Audrey Henry
Scalian
Christophe Leblanc
University of Liège
Alberto Leonardi
Diamond Light Source
Jean Michel Létang
CREATIS (Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé)
Harry Lipscomb
University of Manchester
Tristan Manchester
Diamond Light Source
Bas Meere
Eindhoven University of Technology
Simon C. Middleburgh
Bangor University
Iwan Mitchell
Bangor University
Liam Perera
Diamond Light Source
Martí Puig
University of Manchester
University of Oxford
Jenna Tugwell-Allsup
Ysbyty Gwynedd Hospital
Proceedings of SPIE - The International Society for Optical Engineering
0277786X (ISSN) 1996756X (eISSN)
Vol. 13152 131520W9781510679641 (ISBN)
15th SPIE Conference on Developments in X-Ray Tomography
San Diego, USA,
San Diego, USA,
REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibres, films and composites
European Commission (EC) (101073040), 2023-02-01 -- 2027-01-31.
Subject Categories (SSIF 2011)
Radiology, Nuclear Medicine and Medical Imaging
Medical Image Processing
DOI
10.1117/12.3025315