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Proceedings Paper

Combining shape-based and gray-level interpolations
Author(s): Roberto A. Lutufo; Gabor T. Herman; Jayaram K. Udupa
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Paper Abstract

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.

Paper Details

Date Published: 22 September 1992
PDF: 10 pages
Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); doi: 10.1117/12.131085
Show Author Affiliations
Roberto A. Lutufo, State Univ. of Campinas (Brazil)
Gabor T. Herman, Univ. of Pennsylvania (United States)
Jayaram K. Udupa, Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 1808:
Visualization in Biomedical Computing '92
Richard A. Robb, Editor(s)

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