2007Electronics LettersRequires access

Shrink-wrapping based isosurface reconstruction from cross-sectional images

Young Choi

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Abstract

A new isosurface reconstruction scheme from a set of tomographic cross-sectional images is presented. The method, called shrink-wrapped isosurface (SWIS), surmounts the O(1)-adjacency limitation of the marching cubes algorithm by generalising the concept of isopoints (iso-density points). The coarse initial mesh is iteratively metamorphosed into the final isosurfaces by the shrink-wrapping process. Experiments prove SWIS to be very robust and efficient in isosurface reconstruction.

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What this paper is about

A new isosurface reconstruction scheme from a set of tomographic cross-sectional images is presented. The method, called shrink-wrapped isosurface (SWIS), surmounts the O(1)-adjacency limitation of the marching cubes algorithm by generalising the concept of isopoints (iso-density points). The coarse initial mesh is iteratively metamorphosed into the final isosurfaces by the shrink-wrapping process. Experiments prove SWIS to be very robust and efficient in isosurface reconstruction.

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Available abstract

A new isosurface reconstruction scheme from a set of tomographic cross-sectional images is presented. The method, called shrink-wrapped isosurface (SWIS), surmounts the O(1)-adjacency limitation of the marching cubes algorithm by generalising the concept of isopoints (iso-density points). The coarse initial mesh is iteratively metamorphosed into the final isosurfaces by the shrink-wrapping process. Experiments prove SWIS to be very robust and efficient in isosurface reconstruction.

Key concepts: Isosurface, Marching cubes, Computer science, Set (abstract data type), Process (computing), Adjacency list, Visualization, Tomographic reconstruction

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