Description

Volumes acquired for medical examination purposes are constantly increasing in size. For this reason, the computer’s memory is the limiting factor for visualizing the data. Bricking is a well-known concept used for rendering large data sets. The volume data is subdivided into smaller blocks to achieve better memory utilization. If bricking is used several algorithms (e.g. for segmentation) have to be adapted to achieve good performance. Vessel tracking is an algorithm for robust vessel segmentation from Computed Tomography Angiography (CTA) data sets.

Task

Your task will be the implementation of a fast vessel tracking algorithm on a bricked memory layout. The framework for your implementations will be a highly innovative real-world medical workstation which is under development of our collaborative company partner. You have the chance to work in a creative environment and we are looking forward to the contribution of your ideas.

Requirements

Good knowledge and high interest in computer graphics and visualization, good programming skills (Java)

Additional Information

Contact: Peter Kohlmann

Literature:

• P. Felkel, R. Wegenkittl, A. Kanitsar. Vessel Tracking in Peripheral CTA Datasets - An Overview. Proceedings of Spring Conference on Computer Graphics--SCCG 2001.
• P. Kohlmann, S. Bruckner, A. Kanitsar, M. E. Gröller. Evaluation of a Bricked Volume Layout for a Medical Workstation based on Java. Journal of WSCG, 15(1-3):83-90, January 2007.

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• Bricked Vessel Tracking