Based on registered and segmented medical image data, methods for modelling anatomical structures (blood vessels, tissue, skin, …) are investigated. In addition to the 3-dimensional structures in the form of surface and volume meshes, relevant model parameters such as elasticity values are included in the modelling.

On the basis of these models, methods for characterizing the anatomical structure depicted in the model are developed. The methods used for this purpose range from geometric methods (e.g. distances between elements, diameters, etc.) to real-time non-linear numerical simulation (flow behaviour, elastic deformation, etc.).

These models are used, for example, in simulators for the education and training of physicians. For this purpose the models are made comprehensible with virtual and hybrid interaction possibilities and visualized accordingly. For example, the neurosurgical clipping operation is simulated here.


Dr. Michael Giretzlehner

Head of Research Department Medical Informatics


Research Project ARES

The ARES project aims to create a software tool that supports rupture risk assessment of cerebral aneurysms by combining clinical, morphological, and hemodynamic metrics to provide an objective overview.

Project MEDUSA

The project “Medical EDUcation in Surgical Aneurysm clipping (MEDUSA)” is the result of four submissions to the “Leading State in Medical Technology,” which was advertised by the Province of Upper Austria.

Research Project VizARd

Before certain operations, three-dimensional sectional images (e.g., computer tomography, magnetic resonance tomography) are produced in order to plan them exactly.