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Higher Order Approximating Normals and Their Impact on Isosurface Shading Accuracy

Wood B. A., Lee J. K., Maskey M., Newman T. S.

Machine Graphics and Vision

2010

Vol. 19, No. 2

201-221

Two alternatives to the standard (central differencing) method for estimating normals of Marching Cubes isosurfaces are considered. The methods are based on higher order approximations of dataset gradients. Of primary concern here are the effects of these methods on rendering quality, which is evaluated here through pixel-by-pixel comparisons of typical-fidelity isosurfaces versus high-fidelity rendering achievable from analytically derived formulae. The evaluations also consider effects of noise on isosurface rendering quality for renderings based on standard versus higher order gradients.

The f3d tools for processing and visualization of volumetric data

Šrámek M., Dimitrov L. I., Straka M., Červeňanský M.

Journal of Medical Informatics & Technologies

2004

Vol. 7

MIP69--78

In this paper we introduce the f3d format for storage of volumetric data together with a suite of tools for processing, segmentation and visualization of such data. Both the format and tools were developed for a highly variable and rapidly evolving academic environment, where new data processing and visualization tasks emerge very often. The tools address all the steps of a volume visualization pipeline: starting with import of external formats, over preprocessing, filtering, segmentation to interactive visualization.

VirEn : A virtual endoscopy system

Vilanova A., Konig A., Groller E.

Machine Graphics and Vision

1999

Vol. 8, No. 3

469-487

Virtual endoscopy systems are promising tools for the simplification of daily clinical procedures. In this paper, a conceptual framework for a virtual endoscopy system (VirEn) is proposed, which is indented to be an interactive system. So far, out efforts have concentrated on some elements of the system. The generation of an optimal path for the automated navigation is one of them. Extensions to existing thinning algorithms used to generate the optimal path are presented and discussed. First results produced with VirEn are shown.