X-ray simulations with gVXR as a useful tool for education, data analysis, set-up of CT scans, and scanner development
Paper i 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

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Publicerad i

Proceedings of SPIE - The International Society for Optical Engineering

0277786X (ISSN) 1996756X (eISSN)

Vol. 13152 art. nr 131520W
9781510679641 (ISBN)

Konferens

15th SPIE Conference on Developments in X-Ray Tomography
San Diego, USA, 2024-08-18 - 2024-08-21

Forskningsprojekt

REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibres, films and composites

Europeiska kommissionen (EU) (101073040), 2023-02-01 -- 2027-01-31.

Kategorisering

Ämneskategorier (SSIF 2011)

Radiologi och bildbehandling

Medicinsk bildbehandling

Identifikatorer

DOI

10.1117/12.3025315

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Senast uppdaterat

2025-01-10