gVirtualXray (gVXR): Simulating X-ray radiographs and CT volumes of anthropomorphic phantoms

Jamie Pointon; Tianci Wen; Jenna Tugwell-Allsup; Jean Michel Létang; Franck Vidal

doi:10.1016/j.simpa.2023.100513

gVirtualXray (gVXR): Simulating X-ray radiographs and CT volumes of anthropomorphic phantoms

Jamie Pointon, Tianci Wen, Jenna Tugwell-Allsup, Jean Michel Létang, Franck Vidal

School of Computer Science & Engineering

Research output: Contribution to journal › Article › peer-review

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Abstract

gVirtualXray (gVXR) is an open-source framework that relies on the Beer-Lambert law to simulate X-ray images in realtime on a graphics processor unit (GPU) using triangular meshes. We produced four Jupyter Notebooks to compare images simulated with gVXR and ground truth image of an anthropomorphic phantom: (i) an X-ray projection generated using a Monte Carlo simulation code, (ii) real digitally reconstructed radiographs (DRRs), (iii) computed tomography (CT) slices, and (iv) a real radiograph acquired with a clinical X-ray imaging system. Image registration was deployed in two Notebooks to align the simulated image on the corresponding ground truth image. We demonstrated that accurate images can be generated in milliseconds with gVirtualXray when scattering can be ignored.

Original language	English
Article number	100513
Journal	Software Impacts
Volume	16
Early online date	18 May 2023
DOIs	https://doi.org/10.1016/j.simpa.2023.100513
Publication status	Published - 22 May 2023

Keywords

X-rays
Computed tomography
CT
GPU programming
Image registration
digitally reconstructed radiograph
DRR

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10.1016/j.simpa.2023.100513Licence: CC BY

SIMPA_gvxrAccepted author manuscript, 7.49 MB

1 Article

Simulation of X-ray projections on GPU: benchmarking gVirtualXray with clinically realistic phantoms
Pointon, J., Wen, T., Tugwell-Allsup, J., Sujar, A., Létang, J. M. & Vidal, F., Jun 2023, In: Computer Methods and Programs in Biomedicine. 234, 107500.
Research output: Contribution to journal › Article › peer-review

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gVirtualXRay: an open source library from Bangor University to simulate X-ray images on GPU in real-time
Vidal, F. (Participant)
Impact: Technological, Societal

Cite this

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title = "gVirtualXray (gVXR): Simulating X-ray radiographs and CT volumes of anthropomorphic phantoms",

abstract = "gVirtualXray (gVXR) is an open-source framework that relies on the Beer-Lambert law to simulate X-ray images in realtime on a graphics processor unit (GPU) using triangular meshes. We produced four Jupyter Notebooks to compare images simulated with gVXR and ground truth image of an anthropomorphic phantom: (i) an X-ray projection generated using a Monte Carlo simulation code, (ii) real digitally reconstructed radiographs (DRRs), (iii) computed tomography (CT) slices, and (iv) a real radiograph acquired with a clinical X-ray imaging system. Image registration was deployed in two Notebooks to align the simulated image on the corresponding ground truth image. We demonstrated that accurate images can be generated in milliseconds with gVirtualXray when scattering can be ignored.",

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AU - Pointon, Jamie

AU - Wen, Tianci

AU - Tugwell-Allsup, Jenna

AU - Létang, Jean Michel

AU - Vidal, Franck

PY - 2023/5/22

Y1 - 2023/5/22

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KW - X-rays

KW - Computed tomography

KW - CT

KW - GPU programming

KW - Image registration

KW - digitally reconstructed radiograph

KW - DRR

U2 - 10.1016/j.simpa.2023.100513

DO - 10.1016/j.simpa.2023.100513

M3 - Article

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gVirtualXray (gVXR): Simulating X-ray radiographs and CT volumes of anthropomorphic phantoms

Abstract

Keywords

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Research output

Simulation of X-ray projections on GPU: benchmarking gVirtualXray with clinically realistic phantoms

Impacts

gVirtualXRay: an open source library from Bangor University to simulate X-ray images on GPU in real-time

Cite this