Rendering and interacting with large scale volumetric data in medical applications
Anders Ynnerman, Linköping University, Sweden

Abstract:

This talk will present recent advances in medical volume rendering from the Center for Medical Image Science (CMIV) and the Norrk√∂ping Visualization Center - C, both at Linköping University in Sweden. The first part of the talk will address the issue of data reduction and multi resolution representations for Level-of-Detail selection using the knowledge encoded in transfer functions. Knowledge encoding can also be used to obtain fuzzy classification of unsegmented data and it will be demonstrated how classification can be used to improve transfer function design and enhance features of interest. Other aspects of medical volume rendering such as the use of illumination models to enhance depth cues and to convey additional information from other co-registered sources will also be covered. The second part of the talk will present methods for haptic (force feedback) interaction with volumetric data. New methods for the design and implementation of haptic modes for medical data will be presented and haptic feedback for time resolved volumes will be demonstrated. Throughout the presentation medical examples of volume rendering will be shown such as full body virtual autopsies using the presented methods.