Literature DB >> 25567408

A simulation-based study on the influence of beam hardening in X-ray computed tomography for dimensional metrology.

Joseph J Lifton1, Andrew A Malcolm2, John W McBride1.   

Abstract

X-ray computed tomography (CT) is a radiographic scanning technique for visualising cross-sectional images of an object non-destructively. From these cross-sectional images it is possible to evaluate internal dimensional features of a workpiece which may otherwise be inaccessible to tactile and optical instruments. Beam hardening is a physical process that degrades the quality of CT images and has previously been suggested to influence dimensional measurements. Using a validated simulation tool, the influence of spectrum pre-filtration and beam hardening correction are evaluated for internal and external dimensional measurements. Beam hardening is shown to influence internal and external dimensions in opposition, and to have a greater influence on outer dimensions compared to inner dimensions. The results suggest the combination of spectrum pre-filtration and a local gradient-based surface determination method are able to greatly reduce the influence of beam hardening in X-ray CT for dimensional metrology.

Keywords:  Computed tomography; ISO50; X-ray spectrum estimation; beam hardening; dimensional metrology; surface determination

Mesh:

Year:  2015        PMID: 25567408     DOI: 10.3233/XST-140471

Source DB:  PubMed          Journal:  J Xray Sci Technol        ISSN: 0895-3996            Impact factor:   1.535


  2 in total

1.  Modelling the penumbra in Computed Tomography1.

Authors:  Audrey Kueh; Jason M Warnett; Gregory J Gibbons; Julia Brettschneider; Thomas E Nichols; Mark A Williams; Wilfrid S Kendall
Journal:  J Xray Sci Technol       Date:  2016-05-21       Impact factor: 1.535

2.  Analytical expressions for the reconstructed image of a homogeneous cylindrical sample exhibiting a beam hardening artifact in X-ray computed tomography.

Authors:  Tsukasa Nakano; Yoshito Nakashima
Journal:  J Xray Sci Technol       Date:  2018       Impact factor: 1.535

  2 in total

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