Diploma and Master Theses (authored and supervised):

A. Hartmann:
"An Advanced Data Structure for Large Medical Datasets";
Supervisor: K. Joy, S Grimm, E. Gröller; Institut für Computergraphik und Algorithmen, 2005.

English abstract:
The size of volumetric data acquired from computed tomography scanning devices is steadily increasing, which often makes it impractical to store the whole data in physical memory. Therefore, e±cient data structures are re- quired. In this thesis several data structures are examined in respect to application for computed tomography-angiography. In particular, memory consumption and performance of visualization are addressed. Additionally, a data structure based on adaptive meshes is implemented. This data struc- ture can leverage resources where they are needed. In order to generate the adaptive meshes, two di®erent algorithms are explained and compared to each other. The most common visualization techniques for angiography are described.

Created from the Publication Database of the Vienna University of Technology.