Applying a priori information to computed laminography

Reconstructed 3D volumes from computed laminography data suffer from blurring artefacts due to the laminographic geometry. Such losses in quality can be tackled by the use of a priori information about the test object which can be integrated into the iterative reconstruction process. However, this requires the position of thea priori model to be fitted exactly to the measured data. A (semi-)automatic 2D-3D registration algorithm which only requires a minimal additional user input and is based on a mathematical optimization problem is presented. Using measurement data obtained by simulating x-ray projections of the laminographic scanner CLARA the algorithm is legitimated and the results are evaluated.