Heinz-Otto Peitgen

TL;DR: This work presents an implementation and evaluation of 3-D Active Appearance Models for the segmentation of the left ventricle using actual clinical case images and evaluated models created from varying random data sets.

TL;DR: Based on clinical CT-data a patient individual model of the bronchial-tree is constructed, incorporating information on irregular dichotomic branching of the airway bifurcations, to assess the significance of patient individual local airway geometry on the global ventilation of the lung and the resulting uptake of inhaled gases in the gas exchange regions of the lungs.

TL;DR: A novel software assistant for the analysis of multi-voxel 2D or 3D in-vivo-spectroscopy signals based on the rapid-prototyping platform MeVisLab is presented to support clinicians in a fast and robust interpretation of MRS signals and to enable them to interactively work with large volumetric data sets.

TL;DR: Many problems in imaging are actually inverse problems as discussed by the authors, and one reason for this is that conditions and parameters of the physical processes underlying the actual image acquisition are usually not known, hence, solutions of the forward problem are naturally described by partial differential equations.

TL;DR: The idea of randomness was introduced by as discussed by the authors, who argued that structures or patterns which are created randomly look more or less arbitrary, and that there is some characteristic structure, but if so, it is probably not very interesting.