volumetric depth peeling (VDP) is an extension to volume rendering that enables display of otherwise Occluded features in volume data sets. VDP decouples occlusion calculation from the volume rendering transfer functi...
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ISBN:
(纸本)0819461008
volumetric depth peeling (VDP) is an extension to volume rendering that enables display of otherwise Occluded features in volume data sets. VDP decouples occlusion calculation from the volume rendering transfer function, enabling independent optimization of settings for rendering and Occlusion. The algorithm is flexible enough to handle Multiple regions occluding the object of interest, as well as object self-occlusion, and requires no pre-segmentation of the data set. VDP was developed as an improvement for virtual arthroscopy for the diagnosis of shoulder-joint trauma, and has been generalized for use in other simple and complex joints, and to enable non-invasive urology Studies. In virtual arthroscopy, the Surfaces in the joints often occlude each other, allowing limited viewpoints from which to evaluate these surfaces. In urology Studies. the physician would like to position the virtual camera Outside the kidney collecting system and see inside it. By rendering invisible all voxels between the observer's point of view and objects of interest, VDP enables viewing from unconstrained positions. In essence, VDP can be viewed as a technique for automatically defining an optimal data- and task-dependent clipping Surface. Radiologists using VDP display have been able to perform evaluations of pathologies more easily and more rapidly than with clinical arthroscopy, standard volume rendering, or standard MRI/CT slice viewing.
The force fields used in molecular computational biology are not mathematically defined in such a way that their representation would facilitate a straightforward application of volumevisualization techniques. To vis...
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ISBN:
(纸本)0819461008
The force fields used in molecular computational biology are not mathematically defined in such a way that their representation would facilitate a straightforward application of volumevisualization techniques. To visualize energy, it is necessary to define a spatial mapping for these fields. Equipped with such a mapping, we can generate volume renderings of the internal energy states of a molecule. We describe our force field, the spatial mapping that we use for energy, and the visualizations that we produce from this mapping. We provide images and animations that offer insight into the computational behavior of the energy optimization algorithms that we employ.
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