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Characterization of Computer Tomography Scanners Using the Probability of Detection Method

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Abstract

Industrial computed tomography (CT) is increasingly gaining in importance as a nondestructive testing method (NDT). As with any other NDT method, the requirement for its performance and detection capabilities to be assessed increases as it is used more frequently. Simultaneously, it is becoming important for users to be able to quantitatively measure and compare the suitability of systems available on the market for their own applications. This probability of detection (POD) method makes it possible to create application-specific POD curves for CT systems using a specially-developed POD test specimen. Within the context of this study, a micro-CT scanner with an accelerating voltage of 225 kV and specimens of stainless steel with thicknesses of 1,050 and 2,050 \(\upmu \)m was assessed as an example. When developing this method, special value was placed on reproducibility and universal applicability.

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Notes

  1. Originally, the ROC method was developed to assess radar operating personnel. To determine the ROC curve, the POD and probability of false alarm (PFA) of a sample of the same flaw sizes, ideally critical sizes at the detection limit, are created and plotted against each other [12]. These data are necessary for the ROC imaging and have to be collect in the pilot tests. Along the ROC curve, that is, as the PFA value increases, the sensitivity goes up and the decision level is reduced to such an extent that the false-positive rate comes close to 100 % due to the detection of noise.

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Authors and Affiliations

  1. University of Applied Sciences Aschaffenburg, Würzburger Straße 45, 63743, Aschaffenburg, Germany

    Sebastian Amrhein, Miriam Rauer & Michael Kaloudis

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  1. Sebastian Amrhein
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  2. Miriam Rauer
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  3. Michael Kaloudis
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Correspondence to Sebastian Amrhein.

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Amrhein, S., Rauer, M. & Kaloudis, M. Characterization of Computer Tomography Scanners Using the Probability of Detection Method. J Nondestruct Eval 33, 643–650 (2014). https://doi.org/10.1007/s10921-014-0258-4

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  • DOI: https://doi.org/10.1007/s10921-014-0258-4

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