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| Jayaram K. Udupa, Dewey Odhner, "Shell Rendering," IEEE Computer Graphics and Applications, vol. 13, no. 6, pp. 58-67, November/December, 1993. | |||
| BibTex | x | ||
| @article{ 10.1109/38.252558, author = {Jayaram K. Udupa and Dewey Odhner}, title = {Shell Rendering}, journal ={IEEE Computer Graphics and Applications}, volume = {13}, number = {6}, issn = {0272-1716}, year = {1993}, pages = {58-67}, doi = {http://doi.ieeecomputersociety.org/10.1109/38.252558}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Computer Graphics and Applications TI - Shell Rendering IS - 6 SN - 0272-1716 SP58 EP67 EPD - 58-67 A1 - Jayaram K. Udupa, A1 - Dewey Odhner, PY - 1993 VL - 13 JA - IEEE Computer Graphics and Applications ER - | |||
A structure model for volume rendering, called a shell, is introduced. Roughly, a shell consists of a set of voxels in the vicinity of the structure boundary together with a number of attributes associated with the voxels in this set. By carefully choosing the attributes and storing the shell in a special data structure that allows random access to the voxels and their attributes, storage and computational requirements can be reduced drastically. Only the voxels that potentially contribute to the rendition actually enter into major computation. Instead of the commonly used ray-casting paradigm, voxel projection is used. This eliminates the need for render-time interpolation and further enhances the speed. By having one of the attributes as a boundary likelihood function that determines the most likely location of voxels in the shell to be on the structure boundary, surface-based measurements can be made. The shell concept, the data structure, the rendering and measurement algorithms, and examples drawn from medical imaging that illustrate these concepts are described.
1. J.K. Udupa and G.T. Herman,3-D Imaging in Medicine, CRC Press, Boca Raton Fla., 1991.
2. J. Udupa, H. Hung, and K. Chuang, "Surface and Volume Rendering in 3D Imaging: A Comparison,"J. Digital Imaging, Vol. 4., No. 3, Aug. 1991, pp. 159-168.
3. A. Kalvin,Segmentation and Surface-Based Modeling of Objects in Three-Dimensional Biomedical Images, doctoral dissertation, Dept. of Computer Science, New York University, New York, Mar. 1991.
4. R.A. Reynolds, D. Gordon, and L.-S. Chen. "A Dynamic Screen Tech nique for Shaded Graphics Display of Slice-Represented Objects,"Computer Vision, Graphics, and Image Processing, Vol. 38, No. 3, June 1987, pp. 275-298.
5. H. Cline et al., "Two Algorithms for the Three-Dimensional Reconstruction of Tomograms,"Medical Physics, Vol. 15, No. 3, May/June 1987, pp. 320-327.
6. M. Vannier et al., "Craniosynostosis: Diagnostic Value of Three-Dimensional CT Reconstruction,"Radiology, Vol. 173, No. 3, Dec. 1989, pp. 669-673.
7. J. Udupa and D. Odhner, "Fast Visualization, Manipulation, and Analysis of Binary Volumetric Objects,"IEEE CG&A, Vol. 11, No. 6, Nov. 1991, 53-62.
8. R.A. Drebin, L. Carpenter, and P. Hanrahan, "Volume Rendering,"Computer Graphics(Proc. Siggraph 88), Vol. 22, No. 4. Aug. 1988, pp. 65-74.
9. M. Levoy, "Display of Surfaces from Volume Data,"IEEE CG&A, Vol. 8, No. 3, May 1988, pp. 29-37.
10. J. Udupa and R. Goncalves, "Imaging Transforms for Visualizing Surfaces and Volumes," to be published inJ. Digital Imaging.
11. T. Porter and T. Duff, "Compositing Digital Images,"Computer Graphics, Vol. 18, No. 3, 1984, pp. 253-259.
12. J. Wilhelms and A. Gelder, "A Coherent Projection Approach for Direct Volume Rendering,"Computer Graphics, Vol. 25, No. 4, Aug. 1991, pp. 275-284.
13. M. Levoy, "Efficient Ray Tracing of Volume Data,"ACM Trans. Graphics, Vol. 9, No. 3, ACM, New York, 1990, pp. 245-261.