Efficient Algebraic Image Reconstruction Technique for Computed Tomography

Hanna, R and Sutcliffe, Mark and Charlton, Peter and Mosey, Stephen (2022) Efficient Algebraic Image Reconstruction Technique for Computed Tomography. Insight - Non-Destructive Testing and Condition Monitoring, 64 (6). pp. 326-333. ISSN 1354-2575

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Industrial computed tomography (CT) has seen widespread adoption within certain areas of non-destructive testing (NDT), with many commercial systems capable of acquisition and reconstruction of cone-beam CT data. The majority of these systems utilise reconstruction algorithms based on the traditional filtered back-projection (FBP) methods, which are imperfect with respect to limited-angle cone-beam data. These techniques are also inherently restricted in the source trajectories that can be utilised due to the use of Fourier slice theorem. This restricts FBP-based techniques to a circular or helical trajectory. Iterative reconstruction algorithms provide a solution to these limitations as the volume reconstruction does not depend on the location or orientation of the source and detector, allowing the possibility of scanning trajectories that satisfy well-known CT data-sufficiency conditions. This paper proposes a method of reconstruction based on computationally efficient computer graphics algorithms with data collected from points in 3D space not restricted to a single circular trajectory, which is useful within NDT for automated robotic inspection. The algorithms developed allow for rapid processing of the algebraic reconstruction technique (ART) for use with X-ray transmission data for CT reconstruction. Experimental results are presented for reconstructions for circular trajectory and points on a sphere to demonstrate the suitability for NDT applications.

Item Type: Article
Additional Information: ** From Crossref journal articles via Jisc Publications Router ** History: ppub 01-06-2022; issued 01-06-2022.
Uncontrolled Keywords: Materials Chemistry, Metals and Alloys, Mechanical Engineering, Mechanics of Materials
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Institutes and Academies > Wales Institute for Science & Art (WISA) > Academic Discipline: Applied Computing
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 22 Jun 2022 15:32
Last Modified: 16 May 2024 12:36
URI: https://repository.uwtsd.ac.uk/id/eprint/2021

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