Development of a hybrid data-driven / model-based regularization method for X-ray CT-metrology KU Leuven
Dimensional quality control of hidden or hardly accessible features of high added-value products, produced by e.g. additive manufacturing, is becoming feasible using X-ray Computed Tomography (XCT). Mathematically, X-ray CT reconstruction is however an ill-posed inverse problem when only corrupted or incomplete data is available (i.e., there is no unique solution varying continuously with the data due to model and data uncertainties), then ...