Reducing non-linear artifacts of multi-material objects in industrial 3D computed tomography

Krumm, Michael; Kasperl, Stefan; Franz, Matthias

doi:10.1016/j.ndteint.2007.12.001

Cited by 112 publications

(91 citation statements)

References 10 publications

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“…It can be for example noticed that the toggle allows much higher magnification for its smaller size and therefore yields higher resolution in terms of smaller voxel size compared to the pipe connector. In case of the pipe connector, a copper filter 0.25 mm thick was applied to minimize beam hardening effect [5]. Filters are not necessary for scanning of plastic parts.…”

Section: Ct Measurementsmentioning

confidence: 99%

See 1 more Smart Citation

A study on evaluation strategies in dimensional X-ray computed tomography by estimation of measurement uncertainties

Müller

Hiller

Cantatore

et al. 2012

Int. J. Metrol. Qual. Eng.

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Abstract.Computed tomography has entered the industrial world in 1980's as a technique for nondestructive testing and has nowadays become a revolutionary tool for dimensional metrology, suitable for actual/nominal comparison and verification of geometrical and dimensional tolerances. This paper evaluates measurement results using different measuring strategies applied in different inspection software packages for volume and surface data analysis. The strategy influence is determined by calculating the measurement uncertainty. This investigation includes measurements of two industrial items, an aluminium pipe connector and a plastic toggle, a hearing aid component. These are measured using a commercial CT scanner. Traceability is transferred using tactile and optical coordinate measuring machines, which are used to produce reference measurements. Results show that measurements of diameter for both parts resulted in smaller systematic errors compared to distance and height measurements. It was found that uncertainties of all measurands evaluated on surface data were generally greater compared to measurements performed on volume data.

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Section: Ct Measurementsmentioning

confidence: 99%

“…This is one of the recent topics in CT metrology. Several studies document that artifacts in CT images have a great influence on dimensional measurements [4,5]. Among artifacts which mostly occur in CT images belong beam hardening, scatter radiation, ring artifacts, being the physical effects in CT.…”

Section: Introductionmentioning

confidence: 99%

A study on evaluation strategies in dimensional X-ray computed tomography by estimation of measurement uncertainties

Müller

Hiller

Cantatore

et al. 2012

Int. J. Metrol. Qual. Eng.

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“…Approaches for reducing these effects is not the focus of this article. However, to avoid cupping or streaking artifacts in the reconstructed image we apply a mapping from observed to logarithmic intensities based on an iteratively computed characteristic curve according to [6] as a first step.…”

Section: State Of the Artmentioning

confidence: 99%

Differential SART for sub-Nyquist tomographic reconstruction in presence of misalignments

Roemer

Grosmann

Schoen

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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-In this paper we study tomographic reconstruction methods in the case that prior knowledge about the object is available. In particular, we consider the case that a reference object that is similar in shape and orientation is available, which is very common in non-destructive testing applications. We demonstrate that a differential version of existing reconstruction methods can easily be derived which reconstructs only the deviation between test and reference object. Since this difference volume is significantly more sparse, the differential reconstruction can be implemented very efficiently. We also discuss the case where knowledge about the misalignment between test and reference object is available, in which case the efficiency of the differential reconstruction can be improved even further. The resulting algorithm is faster, more accurate, and less sensitive to the choice of the step size parameters and regularization than state of the art reconstruction methods.

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“…In principle, the idea of a surface-fitting approach in µXCT image post-processing for BH correction has already been introduced previously (Krumm et al, 2008;Iassonov and Tuller, 2010;Jovanović et al, 2013), albeit without a more detailed outline of how to be realized in practice. Therefore, a quite simple algorithm is suggested that fits a 2-D quadratic polynomial function for accurate removal of BH artefacts upon classically filtered back-projectionreconstructed slices.…”

Section: F Khan Et Al: Multi-phase Classificationmentioning

confidence: 99%

Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples

2016

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Abstract. Image processing of X-ray-computed polychromatic cone-beam micro-tomography (µXCT) data of geological samples mainly involves artefact reduction and phase segmentation. For the former, the main beam-hardening (BH) artefact is removed by applying a best-fit quadratic surface algorithm to a given image data set (reconstructed slice), which minimizes the BH offsets of the attenuation data points from that surface. A Matlab code for this approach is provided in the Appendix. The final BH-corrected image is extracted from the residual data or from the difference between the surface elevation values and the original grey-scale values. For the segmentation, we propose a novel least-squares support vector machine (LS-SVM, an algorithm for pixelbased multi-phase classification) approach. A receiver operating characteristic (ROC) analysis was performed on BHcorrected and uncorrected samples to show that BH correction is in fact an important prerequisite for accurate multiphase classification. The combination of the two approaches was thus used to classify successfully three different more or less complex multi-phase rock core samples.

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Reducing non-linear artifacts of multi-material objects in industrial 3D computed tomography

Cited by 112 publications

References 10 publications

A study on evaluation strategies in dimensional X-ray computed tomography by estimation of measurement uncertainties

A study on evaluation strategies in dimensional X-ray computed tomography by estimation of measurement uncertainties

Differential SART for sub-Nyquist tomographic reconstruction in presence of misalignments

Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples

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