2021
DOI: 10.1016/j.precisioneng.2020.09.004
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Measurement of sample stage error motions in cone-beam X-ray computed tomography instruments by minimization of reprojection errors

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Cited by 10 publications
(7 citation statements)
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“…from a tilt of the rotation axis of the rotary table. It is already known in the literature, that calibration procedures based on multi-sphere reference objects can extract such deviations [41].…”
Section: Resultsmentioning
confidence: 99%
“…from a tilt of the rotation axis of the rotary table. It is already known in the literature, that calibration procedures based on multi-sphere reference objects can extract such deviations [41].…”
Section: Resultsmentioning
confidence: 99%
“…Bircher et al [11] applied multi-sphere-based geometry calibration using different magnifications to increase the accuracy for metrological CT. Similar methods were used by Ferrucci et al [12], who focused on determining sample stage error motions.…”
Section: Introductionmentioning
confidence: 99%
“…The underlying concept is to minimize the reprojection error, which is a measure for the difference between the measured 2D coordinates of the projected sphere midpoints in the detector image and the calculated ones setting up an analytical formula for the forward projection. Investigations that are based on this methodology can be found in [3][4][5][6]. Geometry calibration based on spherical markers is also relevant for CT systems that have a high degree of geometric freedom and thus are able to perform 3D scan trajectories.…”
Section: Introductionmentioning
confidence: 99%
“…While the Deng correction according to (1) was applied e.g. in [3,4], it was not used in [5] as no clear improvements were observed. One problem of equation ( 1) is that it is quite sensitive to errors from the ellipse detection, especially for small values of c. Lüthi et al [6] and Kang et al [7] used equation ( 2) that is more stable but needs the sphere radius and the axial distance from the source x 0 as additional input.…”
Section: Introductionmentioning
confidence: 99%