[1]崔竑.双下肢医学CT图像的三维可视化研究与实现[J].计算机技术与发展,2011,(12):175-177.
 CUI Hong.Research and Realization on Three-Dimensional Visualization of Leg CT Data[J].,2011,(12):175-177.
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双下肢医学CT图像的三维可视化研究与实现()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年12期
页码:
175-177
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Research and Realization on Three-Dimensional Visualization of Leg CT Data
文章编号:
1673-629X(2011)12-0175-03
作者:
崔竑
同济大学电子与信息工程学院CAD研究中心
Author(s):
CUI Hong
CAD Research Center, School of Electronic Information Engineering, Tongji University
关键词:
模糊C-均值聚类区域增长分割MarchingCubes算法三维可视化
Keywords:
fuzzy C-means clustering region growing CT segmentation Marching Cubes algorithm three-dimensional visualization
分类号:
TP39
文献标志码:
A
摘要:
将医院提供的二维断层图像序列转变为直观立体效果的图像,展现人体双下肢骨骼的三维结构与形态。结合模糊C-均值聚类算法和区域增长法对CT断层图像进行分割,提取图像中感兴趣的区域ROI,即骨骼区域,再对分割后的图像采用面绘制的方法进行三维重建。两种分割方法的结合使用能使分割结果更加准确,Marching Cubes算法进行三维重建能获得良好的骨骼观察视觉效果。该方法涉及到了数字图像处理、计算机图形学以及医学领域的相关知识,可实现医学CT图像的三维可视化,为骨科医学诊断提供了形象直观的技术方法
Abstract:
The three-dimensional reconstruction of normal leg CT data provided by hospital, display the three dimensional structure and form. Firstly,fuzzy C-means (FCM) clustering algorithm and region growing algorithm is used to find a region of interesting (ROI) and segment from the CT data. Secondly ,reconstruct the segmented images three-dimensionally by surface rendering method. The appli- cation of two segment algorithms can help to get more accurate bone segmentation. MC algorithm works well in three-dimensional reconstruction. The method is an important application of computer graphics and image processing in biomedicine engineering. The result indicates that the segmentation algorithms and three-dimensional reconstruction method applied in the experiment can achieve three-dimen- sional visualization effectively and provide a visualized technology for orthopedics medical diagnosis field

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备注/Memo

备注/Memo:
国家高技术研究发展计划(863计划)(2010AA122200)崔竑(1986-),女,硕士研究生,研究方向为计算机仿真、医学图像处理;导师:李光耀,教授,研究方向为虚拟现实、计算机辅助设计、仿真与分析
更新日期/Last Update: 1900-01-01