Structural Gaussian priors for Bayesian CT reconstruction of subsea pipes-Reference-Cited by-同舟云学术

Structural Gaussian priors for Bayesian CT reconstruction of subsea pipes

Published:2023-06-26 Issue:1 Volume:31 Page:
ISSN:2769-0911
Container-title:Applied Mathematics in Science and Engineering
language:en
Short-container-title:Applied Mathematics in Science and Engineering

Author:

Christensen Silja L.¹^ORCID,Riis Nicolai A. B.¹²^ORCID,Uribe Felipe³^ORCID,Jørgensen Jakob S.¹^ORCID

Affiliation:

1. Department of Applied Mathematics and Computer Science, Technical University of Denmark. Richard Petersens Plads, Kongens Lyngby, Denmark

2. Copenhagen Imaging ApS, Herlev, Denmark

3. School of Engineering Science, Lappeenranta-Lahti University of Technology (LUT), Lappeenranta, Finland

Funder

Villum Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/27690911.2023.2224918

Reference48 articles.

1. Inspecting pipelines with discoveryTM, the world's only subsea CT scanner;Briddon J;Pipeline Technol J,2017

2. Daaland A Soldal R Loetveit SA et al. TomX: high-energy tomographic X-ray for in-service inspection of flexible pipeline systems. In: Proceedings for International Conference on Offshore Mechanics and Arctic Engineering; 2003. p. 739–746; Vol. 2. Safety and Reliability; Pipeline Technology.

3. FORCE Technology Effektiv og sikker kvalitetssikring af subsea-installationer [efficient and safe quality assurance of subsea intallations] [Internet]; 2018 [cited 2023-02-16]; https://forcetechnology.com/da/innovation/afsluttede-projekter/subsea-inspektion-konstruktion-levetid-reparation-planlaegning.

4. Limited-data x-ray CT for underwater pipeline inspection

5. Discrete Inverse Problems

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