The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology
The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology
Due to the merit of establishing volumetric data, X-ray computed tomography (XCT) is increasingly used as a non-destructive evaluation technique in the quality control of advanced manufactured parts with complex non-line-of-sight features. However, the cost of measurement time and data storage hampers the adoption of the technique in production lines. Commercial fast XCT utilises X-ray detectors with fast detection capability, which can be expensive and result in a large amount of data. This paper discussed a different approach, where fast XCT was realised via the acquisition of a small number of projection images instead of full projection images. An established total variation (TV) algorithm was used to handle the reconstruction. The paper investigates the feasibility of using the TV algorithm in handling a significantly reduced number of projection images for reconstruction. This allows a reduction of measurement time from 52 min to 1 min for a typical industrial XCT system with an exposure time of 1 s per projection. It also enables a reduction of data size proportionally. A test strategy including both quantitative and qualitative test metrics was considered to evaluate the effectiveness of the reconstruction algorithm. The qualitative evaluation includes both the signal to noise ratio and the contrast to noise ratio. The quantitative evaluation was established using reference samples with different internal and external geometries. Simulation data were used in the assessment considering various influence factors, such as X-ray source property and instrument noise. The results demonstrated the possibility of using advanced reconstruction algorithms in handling XCT measurements with a significantly limited number of projection images for dimensional measurements. This work lays down the foundation for conducting fast XCT measurements without the need for instrument alteration or enhancement. Although the reconstruction time required is still considerable, various possibilities to improve this have been discussed.
dimensional metrology, fast X-ray computed tomography, image quality, reconstruction, total variation, Image quality, Reconstruction, Fast X-ray computed tomography, Total variation, Dimensional metrology
Sun, Wenjuan
85a2b297-f55f-48a7-9059-a769aade3b89
Chretien, Stephan
6e866a94-55f6-4715-bf79-1fe986893a50
Biguri, Ander
f3855ecb-13cb-491b-b865-df0d3204f11e
Soleimani, Manuchehr
30e0976e-5241-4edc-990f-bba47c6d5aa3
Blumensath, Thomas
470d9055-0373-457e-bf80-4389f8ec4ead
Talbott, Jessica
8d420226-ab49-4c08-9f23-f0dd718e2eb3
July 2023
Sun, Wenjuan
85a2b297-f55f-48a7-9059-a769aade3b89
Chretien, Stephan
6e866a94-55f6-4715-bf79-1fe986893a50
Biguri, Ander
f3855ecb-13cb-491b-b865-df0d3204f11e
Soleimani, Manuchehr
30e0976e-5241-4edc-990f-bba47c6d5aa3
Blumensath, Thomas
470d9055-0373-457e-bf80-4389f8ec4ead
Talbott, Jessica
8d420226-ab49-4c08-9f23-f0dd718e2eb3
Sun, Wenjuan, Chretien, Stephan, Biguri, Ander, Soleimani, Manuchehr, Blumensath, Thomas and Talbott, Jessica
(2023)
The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology.
NDT & E International, 137, [102852].
(doi:10.1016/j.ndteint.2023.102852).
Abstract
Due to the merit of establishing volumetric data, X-ray computed tomography (XCT) is increasingly used as a non-destructive evaluation technique in the quality control of advanced manufactured parts with complex non-line-of-sight features. However, the cost of measurement time and data storage hampers the adoption of the technique in production lines. Commercial fast XCT utilises X-ray detectors with fast detection capability, which can be expensive and result in a large amount of data. This paper discussed a different approach, where fast XCT was realised via the acquisition of a small number of projection images instead of full projection images. An established total variation (TV) algorithm was used to handle the reconstruction. The paper investigates the feasibility of using the TV algorithm in handling a significantly reduced number of projection images for reconstruction. This allows a reduction of measurement time from 52 min to 1 min for a typical industrial XCT system with an exposure time of 1 s per projection. It also enables a reduction of data size proportionally. A test strategy including both quantitative and qualitative test metrics was considered to evaluate the effectiveness of the reconstruction algorithm. The qualitative evaluation includes both the signal to noise ratio and the contrast to noise ratio. The quantitative evaluation was established using reference samples with different internal and external geometries. Simulation data were used in the assessment considering various influence factors, such as X-ray source property and instrument noise. The results demonstrated the possibility of using advanced reconstruction algorithms in handling XCT measurements with a significantly limited number of projection images for dimensional measurements. This work lays down the foundation for conducting fast XCT measurements without the need for instrument alteration or enhancement. Although the reconstruction time required is still considerable, various possibilities to improve this have been discussed.
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2305.10129
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Accepted/In Press date: 8 April 2023
e-pub ahead of print date: 13 April 2023
Published date: July 2023
Additional Information:
Funding Information:
This work was funded by the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme . This work was also funded by the UK Government's Department for Business, Energy and Industrial Strategy (BEIS) through the UK's National Measurement System programmes .
Funding Information:
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Wenjuan Sun reports financial support was provided by National Physical Laboratory. Wenjuan Sun reports a relationship with EURAMET European Metrology Programme for Innovation and Research that includes: funding grants.This work was funded by the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme. This work was also funded by the UK Government's Department for Business, Energy and Industrial Strategy (BEIS) through the UK's National Measurement System programmes.
Publisher Copyright:
© 2023
Keywords:
dimensional metrology, fast X-ray computed tomography, image quality, reconstruction, total variation, Image quality, Reconstruction, Fast X-ray computed tomography, Total variation, Dimensional metrology
Identifiers
Local EPrints ID: 477613
URI: http://eprints.soton.ac.uk/id/eprint/477613
ISSN: 0963-8695
PURE UUID: 2ca61f05-496e-448e-ad74-e04c83ae7134
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Date deposited: 09 Jun 2023 16:50
Last modified: 06 Jun 2024 01:47
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Contributors
Author:
Wenjuan Sun
Author:
Stephan Chretien
Author:
Ander Biguri
Author:
Manuchehr Soleimani
Author:
Jessica Talbott
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