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Research on Marching Cubes Reconstruction Based on 3D Segmentation

Author: YanXiaoBo
Tutor: LiJin
School: Harbin Engineering University
Course: Control Theory and Control Engineering
Keywords: Reconstruction Three-dimensional medical images 3D image segmentation Marching Cubes algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 181
Quote: 3
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Abstract


In medical image visualization , surface rendering as simple and easy to implement , and a relatively small amount of calculation quick reasons to get more research and practical application . In medical data , in many cases isosurface does not fully represent the object's surface , in order to solve this problem, better constructed surface targets of interest , this article will surface rendering of a representative Marching Cubes algorithm and three-dimensional segmentation algorithm combined to achieve the reconstruction of the body part of the organization . Firstly, the medical three-dimensional image to a filtering process , to reduce the noise impact on the 3D segmentation results , when the acquisition of medical slice spacing relative to the slice is the pixel pitch is large, the middle slice structure linear interpolation to increase the data density , to avoid imaging result distortion. In 3D segmentation study, this paper uses a region growing algorithm, the Marching Cubes algorithm for the use of surface rendering to prepare. By Marching Cubes algorithm and its improved algorithm theory analysis , this article will MarchingCubes algorithm logically divided into \thresholding algorithm extended from the region growing segmentation approach to accommodate different data objects and different target partition . In this paper, an open plug-in interface 3Dmed platform based on the realization of MarchingCubes 3D segmentation algorithm , and gives the brain CT data and lower extremities and abdominal CT data reconstruction results . Experimental results show that the three-dimensional region growing algorithm embedded Marching Cubes algorithm, can achieve better brain tumors and other internal small area of reconstruction, three-dimensional threshold segmentation algorithm embedded MarchingCubes algorithm, can achieve better lower limb bones Restructuring of thin strips .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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