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Proceedings Paper

Three-dimensional medical image modeling of scattered data by using wavelet-based criterion
Author(s): Kun Lee
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Paper Abstract

Computerized Tomography medical images contain significant low intensity black regions along image boundaries. This paper discusses the visualization method by using wavelet based data dependent criterion: The wavelet based criterion is minimizing the difference of wavelet coefficients across the common face. In the first procedure, the important data are selected based on the coefficients of wavelet from the cuberille data. Marching cubes method is not appropriate when the data are scattered data. Data dependent terahedrization is one of pre-processing steps for trivariate scattered data interpolation. The quality of an interpolation depends not only on the distribution of the data point in 3D space, but also on the data values. We apply wavelet-based criterion for each tetrahedron. To achieve the smooth transition, we minimize the difference between each adjacent surface to achieve a nearly C1. Minimizing the difference of wavelet coefficients is related to achieve the smooth transition. Simulated annealing algorithm is employed to achieve the global optimum for a wide class of optimization criteria. The results of trivariated scattered data interpolation is visualized through an iso-surface rendering. The visualization algorithm of this study was implemented on an O2 workstation of Silicon Graphics Systems.

Paper Details

Date Published: 2 November 2001
PDF: 12 pages
Proc. SPIE 4476, Vision Geometry X, (2 November 2001); doi: 10.1117/12.447279
Show Author Affiliations
Kun Lee, Handong Univ. (South Korea)


Published in SPIE Proceedings Vol. 4476:
Vision Geometry X
Longin Jan Latecki; David M. Mount; Angela Y. Wu; Robert A. Melter, Editor(s)

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