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Measurement Science Review

The Journal of Institute of Measurement Science of Slovak Academy of Sciences

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Volume 18, Issue 6

Issues

Proposed Use of Monte Carlo Simulated Images to Evaluate the Accuracy of Measurements on X-Ray Computed Tomography

Tomasz Kowaluk
  • Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, św. A. Boboli 8 st., 02-525 Warsaw, Poland
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  • Other articles by this author:
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/ Maciej Maciak
  • Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, św. A. Boboli 8 st., 02-525 Warsaw, Poland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Adam Woźniak
  • Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, św. A. Boboli 8 st., 02-525 Warsaw, Poland
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  • De Gruyter OnlineGoogle Scholar
/ Piotr Tulik
  • Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, św. A. Boboli 8 st., 02-525 Warsaw, Poland
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  • De Gruyter OnlineGoogle Scholar
/ Natalia Golnik
  • Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, św. A. Boboli 8 st., 02-525 Warsaw, Poland
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  • De Gruyter OnlineGoogle Scholar
Published Online: 2018-11-30 | DOI: https://doi.org/10.1515/msr-2018-0034

Abstract

X-ray computed tomography (CT) is increasingly recognized as a promising measuring technique for dimensional metrology. Various methods are being developed to improve measurement accuracy. Tests of new methods for such applications include accuracy evaluation with the use of calibrated workpieces; however, the internal algorithms of image acquisition and data processing might influence the experimental error, and then also the comparison of methods at different CTs. The accuracy of the results of tomographic measurements is influenced by many factors, one of which is the setting of the threshold value. The article presents the results of an attempt to use Monte Carlo simulated images to estimate deviations to determine threshold values to improve measurement accuracy and additionally, to estimate the impact of data processing. The differences of the results obtained from the simulated images were up to 4 % larger than those from tomographic images. It was caused by degradation of the image contrast by scattered radiation.

Keywords: Monte Carlo Methods; X-ray computed tomography; accuracy of measurements; threshold values

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About the article

Received: 2018-05-08

Accepted: 2018-11-03

Published Online: 2018-11-30

Published in Print: 2018-10-01


Citation Information: Measurement Science Review, Volume 18, Issue 6, Pages 251–255, ISSN (Online) 1335-8871, DOI: https://doi.org/10.1515/msr-2018-0034.

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© 2018 Tomasz Kowaluk et al., published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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