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