The University of Southampton
University of Southampton Institutional Repository

Evaluating the standard uncertainty due to the voxel size in dimensional computed tomography

Evaluating the standard uncertainty due to the voxel size in dimensional computed tomography
Evaluating the standard uncertainty due to the voxel size in dimensional computed tomography
X-ray computed tomography (XCT) is a promising tool for making dimensional measurements of complex engineering components. The adoption of XCT as a measurement tool is hindered by the inability to evaluate the uncertainty of XCT-based dimensional measurements; simply put, XCT users cannot specify how good (or bad) their measurements are. In this work, equations and a method are given to evaluate the standard uncertainty due to the voxel size; this being one of several sources of uncertainty in XCT-based dimensional measurements. It is envisioned that this standard uncertainty component will be combined with other standard uncertainties in a task-specific uncertainty budget, thus providing end users with a statement of XCT measurement uncertainty. It is claimed here that evaluating the standard uncertainty of the voxel size by means of a calibrated length leads to a traceable voxel size. For the example considered in this work, the voxel size is evaluated to be 80.005 μm ± 0.001 μm, with the voxel size uncertainty expressed as one standard deviation. When the standard uncertainty of the voxel size is propagated through to the final measurement result of a machined aluminium length bar, the standard uncertainty due to the voxel size is evaluated as ± 1.01 μm for a bi-directional length of nominally 55 mm.
0141-6359
245-250
Lifton, Joseph
9be501ec-2742-4ab6-8a5a-996c5b7c23ae
Lifton, Joseph
9be501ec-2742-4ab6-8a5a-996c5b7c23ae

Lifton, Joseph (2023) Evaluating the standard uncertainty due to the voxel size in dimensional computed tomography. Precision Engineering, 79, 245-250. (doi:10.1016/j.precisioneng.2022.11.001).

Record type: Article

Abstract

X-ray computed tomography (XCT) is a promising tool for making dimensional measurements of complex engineering components. The adoption of XCT as a measurement tool is hindered by the inability to evaluate the uncertainty of XCT-based dimensional measurements; simply put, XCT users cannot specify how good (or bad) their measurements are. In this work, equations and a method are given to evaluate the standard uncertainty due to the voxel size; this being one of several sources of uncertainty in XCT-based dimensional measurements. It is envisioned that this standard uncertainty component will be combined with other standard uncertainties in a task-specific uncertainty budget, thus providing end users with a statement of XCT measurement uncertainty. It is claimed here that evaluating the standard uncertainty of the voxel size by means of a calibrated length leads to a traceable voxel size. For the example considered in this work, the voxel size is evaluated to be 80.005 μm ± 0.001 μm, with the voxel size uncertainty expressed as one standard deviation. When the standard uncertainty of the voxel size is propagated through to the final measurement result of a machined aluminium length bar, the standard uncertainty due to the voxel size is evaluated as ± 1.01 μm for a bi-directional length of nominally 55 mm.

Text
1-s2.0-S0141635922002276-main - Version of Record
Download (1MB)

More information

Accepted/In Press date: 1 November 2022
e-pub ahead of print date: 9 November 2022
Published date: January 2023

Identifiers

Local EPrints ID: 498002
URI: http://eprints.soton.ac.uk/id/eprint/498002
ISSN: 0141-6359
PURE UUID: ccd6e2b2-416a-4c3a-9ecf-691b7c3e83cb
ORCID for Joseph Lifton: ORCID iD orcid.org/0000-0002-8716-1055

Catalogue record

Date deposited: 05 Feb 2025 18:18
Last modified: 22 Aug 2025 02:43

Export record

Altmetrics

Contributors

Author: Joseph Lifton ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×