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

Basic data for this project

Type of projectSubproject in DFG-joint project hosted at University of Münster
Duration at the University of Münster01/07/2005 - 30/06/2017 | 3rd Funding period

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.

Keywordsphysiologische Modellierung
Website of the projecthttp://www.uni-muenster.de/Sfbmobil/projekte/methoden/b2.php
Funder / funding scheme
  • DFG - Collaborative Research Centre (SFB)

Project management at the University of Münster

Burger, Martin
Professorship for applied mathematis, especially numerics (Prof. Burger)
Büther, Florian
European Institute of Molecular Imaging (EIMI)
Wübbeling, Frank
Institute for Analysis and Numerics

Applicants from the University of Münster

Burger, Martin
Professorship for applied mathematis, especially numerics (Prof. Burger)