Combining shape-based and gray-level interpolations

Roberto A. Lutufo; Gabor T. Herman; Jayaram K. Udupa

doi:10.1117/12.131085

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22 September 1992 Combining shape-based and gray-level interpolations

Roberto A. Lutufo, Gabor T. Herman, Jayaram K. Udupa

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Proceedings Volume 1808, Visualization in Biomedical Computing '92; (1992) https://doi.org/10.1117/12.131085
Event: Visualization in Biomedical Computing, 1992, Chapel Hill, NC, United States

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.

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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); https://doi.org/10.1117/12.131085

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