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
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

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Place of employment

ID: 10137764