Abstract
We present new methods to optimise industrial computed tomography (CT) scanning process. The methods were applied on CT systems—with high-energy X-ray tube sources (>400 keV)—using cross-sectional images for volume digitalisation. Commonly the distances between all cross-sectional slices for volume data acquiring are constant. We developed a new adaptive CT scanning method, which optimises the location of the cross-sectional images with respect to object geometry. The optimisation strategy depends on the statistical evaluation of object mesh models (e.g. STL from CAD). We developed a software prototype that implements the new methods. First tests, applied on commercial objects, lead to a reduction in number of necessary slices of up to 50%. The accuracy of the digital volume model formed by the adaptive scanning method is comparable to the one retrieved by the equidistant scanning method.
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