Boundary surface extraction and rendering for volume datasets
Proceedings of the 2006 ACM symposium on Applied computing
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
Efficient display of background objects for virtual endoscopy using flexible first-hit ray casting
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
Scaffolding-based segmentation of coronary vascular structures
VG'05 Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics
Automatic feature modeling techniques for volume segmentation applications
VG'07 Proceedings of the Sixth Eurographics / Ieee VGTC conference on Volume Graphics
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We present a technique to extract regions from a volumetric dataset without introducing any aliasing so that the extracted volume can be explored using direct volume rendering techniques. Extracting regions using binary masks generated by contemporary segmentation approaches typically introduces aliasing at the boundary of the extracted regions. This aliasing is especially visible when the dataset is visualized using direct volume rendering. Our algorithm uses the binary mask only to locate the boundary. The main idea of the algorithm is to retain the natural fuzziness at the boundary of a region even after it is extracted. To achieve that, intensities of the boundary voxels are flipped so that they are now representing a fuzzy boundary with the empty region surrounding it, while preserving the boundary position.