Doctor's Theses (authored and supervised):

P. Kohlmann:
"LiveSync: Smart Linking of 2D and 3D Views in Medical Applications";
Supervisor, Reviewer: E. Gröller, I. Viola; Institut für Computergraphik und Algorithmen, TU Wien, 2009; oral examination: 2009-01-27.

English abstract:
In this thesis two techniques for the smart linking of 2D and 3D views in medical applications are presented. Although real-time interactive 3D volume visualization is available even for very large data sets, it is used quite rarely in the clinical practice. A major obstacle for a better integration in the clinical workflow is the time-consuming process to adjust the parameters to generate diagnostically relevant images. The clinician has to take care of the appropriate viewpoint, zooming, transfer function setup, clipping planes, and other parameters. Because of this, current applications primarily employ 2D views generated through standard techniques such as multi-planar reformatting (MPR).

The LiveSync interaction metaphor is a new concept to synchronize 2D slice views and 3D volumetric views of medical data sets. Through intuitive picking actions on the slice, the users define the anatomical structures they are interested in. The 3D volumetric view is updated automatically with the goal that the users are provided with diagnostically relevant images. To achieve this live synchronization a minimal set of derived information, without the need for segmented data sets or data-specific precomputations, is used. The presented system provides the physician with synchronized views which help to gain deeper insight into the medical data with minimal user interaction.

Contextual picking is a novel method for the interactive identification of contextual interest points within volumetric data by picking on a direct volume rendered image. In clinical diagnostics the points of interest are often located in the center of anatomical structures. In order to derive the volumetric position, which allows a convenient examination of the intended structure, the system automatically extracts contextual meta information from the DICOM (Digital Imaging and Communications in Medicine) images and the setup of the medical workstation. Along a viewing ray for a volumetric picking, the ray profile is analyzed to detect structures which are similar to predefined templates from a knowledge base. It is demonstrated that the obtained position in 3D can be utilized to highlight a structure in 2D slice views, to interactively calculate approximate centerlines of tubular objects, or to place labels at contextually-defined 3D positions.

Related Projects:
Project Head Eduard Gröller:
DiagVis Jahr 2 (KE 2009 offen)

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