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IntelliScan: Improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles

 X-ray computed tomography (XCT) enables the dimensional measurement and inspection of highly geometrically complex engineering components that are unmeasurable using optical and tactile instruments. Conventional XCT scans use a circular scan trajectory where X-ray projections are acquired with a un...

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Detalles Bibliográficos
Autores principales: Lifton, Joseph John, Poon, Keng Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912713/
https://www.ncbi.nlm.nih.gov/pubmed/36530062
http://dx.doi.org/10.3233/XST-221280
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author Lifton, Joseph John
Poon, Keng Yong
author_facet Lifton, Joseph John
Poon, Keng Yong
author_sort Lifton, Joseph John
collection PubMed
description  X-ray computed tomography (XCT) enables the dimensional measurement and inspection of highly geometrically complex engineering components that are unmeasurable using optical and tactile instruments. Conventional XCT scans use a circular scan trajectory where X-ray projections are acquired with a uniform angular spacing; this approach treats all projections as being of equal importance, in practice, some projections contain more object information than others. In this work we capitalize on this concept by intelligently selecting projections with a view to improve the quality of surface models extracted from an XCT data-set. Our approach relies on using a priori object information to select X-ray projections in which the surfaces of the object are aligned with a ray-path, thus ensuring the surface of the object is fully sampled. Results are presented showing that the proposed method is able to reduce CAD comparison errors by 16%, reduce surface form error by 3%, and improve edge contrast by 14% for a machined aluminium component.
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spelling pubmed-99127132023-02-11 IntelliScan: Improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles Lifton, Joseph John Poon, Keng Yong J Xray Sci Technol Research Article  X-ray computed tomography (XCT) enables the dimensional measurement and inspection of highly geometrically complex engineering components that are unmeasurable using optical and tactile instruments. Conventional XCT scans use a circular scan trajectory where X-ray projections are acquired with a uniform angular spacing; this approach treats all projections as being of equal importance, in practice, some projections contain more object information than others. In this work we capitalize on this concept by intelligently selecting projections with a view to improve the quality of surface models extracted from an XCT data-set. Our approach relies on using a priori object information to select X-ray projections in which the surfaces of the object are aligned with a ray-path, thus ensuring the surface of the object is fully sampled. Results are presented showing that the proposed method is able to reduce CAD comparison errors by 16%, reduce surface form error by 3%, and improve edge contrast by 14% for a machined aluminium component. IOS Press 2023-01-27 /pmc/articles/PMC9912713/ /pubmed/36530062 http://dx.doi.org/10.3233/XST-221280 Text en © 2023 – The authors. Published by IOS Press https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lifton, Joseph John
Poon, Keng Yong
IntelliScan: Improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles
title IntelliScan: Improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles
title_full IntelliScan: Improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles
title_fullStr IntelliScan: Improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles
title_full_unstemmed IntelliScan: Improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles
title_short IntelliScan: Improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles
title_sort intelliscan: improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912713/
https://www.ncbi.nlm.nih.gov/pubmed/36530062
http://dx.doi.org/10.3233/XST-221280
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