Matematiktorvet, Building 303B, Room 010
2800 Kgs. Lyngby
PhD Project: Training Sets in Large-Scale Reconstruction Methods
The project is affiliated with the
project High-Definition Tomography (HD-Tomo) financed by the
European Research Council.
The goal of the HD-Tomo project is to utilize and further develop the enabling mathematical technology and computational algorithms to produce a new generation of tomographic reconstruction methods that can incorporate many different kinds of available prior information in order to produce high-definition reconstructions, i.e., sharper images with more reliable details.
This PhD project aims at providing a theoretical and methodological framework for the use of training sets as non-parametric priors for the solutions in tomographic reconstruction. In particular we will study and further develop the use of artificially generated training sets for incorporation of structural information about the solution. The methods will be tested on problems in geophysics and medical imaging