Abstract
It is an active research area to reconstruct 3-D object and display its visible surfaces from cross-sectional images. In this paper, the methods of reconstructing 3-D object from medical CT images and displaying the visible surfaces are discussed. A polygon approximation method that forms polygon with the same number of segment points and a fast interpolation method for cross-sectional contours are presented at first. Then the voxel set of a human liver is reconstructed. And then the liver voxel set is displayed using depth and gradient shading methods. The software is written in C programming language at a microcomputer image processing system with a PC/AT computer as the host and a PC-VISION board as the image processing unit. The result of the processing is satisfying.
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Bin, L., Bingquan, W. PC-based surface reconstruction of medical CT Images. J. of Electron. (China) 10, 284–288 (1993). https://doi.org/10.1007/BF02684560
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DOI: https://doi.org/10.1007/BF02684560