Researcher: Lukas F. Lang, Sebastian Neumayer, Ozan Öktem, Carola-Bibiane Schönlieb
In this project, we developed a variational regularisation approach for template-based image reconstruction from indirect, noisy measurements as given, for instance, in X-ray computed tomography. An image is reconstructed from such measurements by deforming a given template image. The image registration is directly incorporated in the form of a partial differential equation that models the registration as either mass- or intensity-preserving transport from the template to the unknown reconstruction. In this way, outstanding reconstructions can be computed from only a few measurements.
Related Publications
Template-Based Image Reconstruction from Sparse Tomographic Data
(DOI: 10.1007/s00245-019-09573-2)