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Proceedings Paper

Analytic surface reconstruction by local threshold estimation in the case of simple intensity contrasts
Author(s): Peter J. Yim; Ronald M. Summers
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Paper Abstract

Surface reconstruction for 3D visualization requires both a segmentation of the image and at the least, a conversion of the data from an image format to a shape format. While the discrete pixel locations of the segmentation may be satisfactory for quantitative purposes, it is usually important for visual quality to remove such voxelation in the shape data prior to rendering. Removal of such voxelation, depending on the specific segmentation technique, may be problematic, involving excessive interpolation prior to segmentation or the application of pure surface smoothing in which important image information may be disregarded. An algorithm is presented here to address these problems. In this algorithm, a smoothly varying threshold level is determined such that that level falls within the interpolated intensity ranges of all the segmentation-boundary voxels. This threshold information is extrapolated to voxels adjacent to the boundary and then used to correct or normalize the original image in the vicinity of the boundary. Provided that the directionality of the contrast between the interior and exterior of the boundary is sufficiently consistent throughout the boundary, an isosurface of this normalized image is guaranteed to exist which falls within the voxels of the segmentation boundary.

Paper Details

Date Published: 20 May 1999
PDF: 13 pages
Proc. SPIE 3660, Medical Imaging 1999: Physiology and Function from Multidimensional Images, (20 May 1999); doi: 10.1117/12.349599
Show Author Affiliations
Peter J. Yim, National Institutes of Health (United States)
Ronald M. Summers, National Institutes of Health (United States)

Published in SPIE Proceedings Vol. 3660:
Medical Imaging 1999: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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