Semantic Models for Medical Volume Visualization
Background
Many sophisticated techniques for the visualization of volumetric data such as medical data have been published. While existing techniques are mature from a technical point of view, managing the complexity of visual parameters is still difficult for non-expert users. To this end, this paper presents new ideas to facilitate the specification of optical properties for direct volume rendering. We introduce an additional level of abstraction for parametric models of transfer functions. The proposed framework allows visualization experts to design high-level transfer function models which can intuitively be used by non-expert users. The results are user interfaces which provide semantic information for specialized visualization problems. The proposed method is based on principal component analysis as well as on concepts borrowed from computer animation.
Demo video (DivX,Mp3,128kbs)
Papers
| · | Christof Rezk-Salama, Maik Keller, Peter Kohlmann |
| High-Level User Interfaces for Transfer Function Design with Semantics | |
| In in IEEE Trans. on Visualization and Computer Graphics (Proc. IEEE Visualization), 11(5), 2006, pages 1021-1028 | |
| [bib] [pdf] |
| · | Christof Rezk-Salama |
| Ein semantisches Modell für die Entwicklung von Softwareassistenten zur medizinischen Visualisierung | |
| In in Softwareassistenten, LNI Lecture Notes in Informatics., 2006 | |
| [bib] [pdf] |