Shrink-wrapping based isosurface reconstruction from cross-sectional images
Young Choi
Abstract
Young Choi
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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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