Basic principles of data acquisition and data processing in the construction of high-quality virtual models

Creating models for virtual reality subdivides into several steps. The aim of the data acquisition is the extraction of nearly isotropic (same solutio n in all three axes) data sets with low noise content. An approximate isotr opy can be achieved by suitable choice of scan parameters. For raw data rec onstruction, the application of high-resolution reconstruction algorithms i s prohibited due to increased noise. A missing isotropy can computationally be approximated by interpolation. Further noise suppression is achieved by applying filters. Additionally, the contrast of the object for segmentatio n can be increased by image processing operators. The correct choice of the segmentation method and the editing tools is essential for a precise segme ntation with minimal user interaction. Prior to visualization,smoothing the shape of the segmented model (shape-based or morphological interpolation, polygon reduction of wire frame model) further improves the visual appearan ce of the 3D model.