Visualization: Clinically Applied Multivariate Volume Rendering

This project targets an area of medical imaging with great potential for health care benefits, but also constituting a great eScience challenge. The objective of this project is to develop novel medical visualization methods for multivariate Direct Volume Rendering (DVR) that enable new levels of clinical usefulness.

The usage complexity is a huge challenge yet to be met. Even for scalar volumetric data sets, DVR is today under-utilized in clinical practice in comparison to the potential diagnostic usefulness. There are clinical applications based on DVR used by specialist radiologists, but for many radiologists the DVR interaction is too complex, both in terms of the learning threshold and the efficiency once learned. This complexity issue becomes an even greater concern for DVR of multivariate data.