CRC 656 B02 - PET reconstructions of thin structures and their validation (SFB 656 B02)

Basic data for this project

Description

It has been shown recently that the use of a-priori knowledge in medical imaging leads to significant improvements in resolution and quantitation. Usually this is done by preprocessing data or postprocessing images. We instead propose to incorporate the knowledge into the reconstruction process, together with a thorough mathematical analysis. We will consider two types of a-priori knowledge: structural information, e. g. about anatomy or dynamics, and physiological models. In both cases this needs to be realized by solving nonlinear inverse problems.