Sara Soltani

Sara Soltani

PhD student

Matematiktorvet, Building 303B, Room 010

2800 Kgs. Lyngby


Phone: 45253020


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.

Project Description

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 image reconstruction. In particular we will study and further develop the use of artificially generated training images for incorporation of structural information about the solution. 

Training images are conceptual images that contain a set of desired visual features, and we use dictionary learning to construct a dictionary from these images. Using the dictionary as prior information, we solve a Lasso least-squares problem that yields a reconstruction that has a sparse representation with respect to the dictionary.

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Place of employment

ID: 10137764