Intermixing Surface and Volume Rendering

TL;DR: Work in progress that demonstrates the utility of a voxel-based data format for modeling physical interactions between virtual objects is discussed, data structures that help to optimize storage requirements and preserve object integrity during object movement are presented, and prototype systems are described.

TL;DR: The three most common techniques for 3D reconstruction are surface rendering, maximum intensity projection (MIP), and volume rendering as discussed by the authors, and each of them has advantages and shortcomings that must be considered during selection of one for a specific clinical problem and during interpretation of the resulting images.

Abstract: This chapter presents an overview of techniques for visualization of fluid flow data. As a starting point, a brief introduction to experimental flow visualization is given. The rest of the chapter concentrates on computer graphics flow visualization. A pipeline model of the flow visualization process is used as a basis for presentation. Conceptually, this process centres around visualization mapping, or the translation of physical flow parameters to visual representations. Starting from a set of standard mappings partly based on equivalents from experimental visualization, a number of data preparation techniques is described, to prepare the flow data for visualization. Next, a number of perceptual effects and rendering techniques are described, and some problems in visual presentation are discussed. The chapter ends with some concluding remarks and suggestions for future development.

TL;DR: One unique method, the context-sensitive approach, employs segmentation and segment-bounded operators that are based on object and slope discontinuities in order to achieve high fidelity normal estimation for rendering volumetric objects.

TL;DR: For the 3D-reconstruction of organ surfaces from tomograms, a shading method based on the partial volume effect is presented and it is shown, that at least for bone and soft tissue surfaces, the results are superior to conventional shading.

TL;DR: Three-dimensionalscan-conversion algorithms, that scan-convert 3D parametric objects into their discrete voxelmap representation within a Cubic Frame Buffer (CFB), are presented and emply third-order forward difference techniques.

TL;DR: In this paper, an assortment of algorithms, termed three-dimensional (3D) scan-conversion algorithms, is presented. And all algorithms are incremental and use only additions, subtractions, tests and simpler operations inside the inner algorithm loops.

TL;DR: Three-dimensional (3D)Scan-conversion algorithms, that scan-convert 3D parametric objects into their discrete voxelmap representation within a Cubic Frame Buffer (CFB), are presented.