Translator Disclaimer
22 September 1992 Combining shape-based and gray-level interpolations
Author Affiliations +
Proceedings Volume 1808, Visualization in Biomedical Computing '92; (1992)
Event: Visualization in Biomedical Computing, 1992, Chapel Hill, NC, United States
Sectional images generated by medical scanners usually have lower interslice resolution than resolution within the slices. Shape-based interpolation is a method of interpolation that can be applied to the segmented 3-D volume to create an isotropic data set. It uses a distance transform applied to every slice prior to estimation of intermediate binary slices. Gray-level interpolation has been the classical way of estimating intermediate slices. The method reported here is a combination of these two forms of interpolation, using the local gradient as a normalizing factor of the combination. Overall, this combination of the methods performs better than either of them applied individually.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Roberto A. Lutufo, Gabor T. Herman, and Jayaram K. Udupa "Combining shape-based and gray-level interpolations", Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992);

Back to Top