期刊文献+

MC算法在CT医学图像三维重建中的应用 被引量:5

Application of MC Algorithm in Three-Dimensional Reconstruction of CT Medical Images
下载PDF
导出
摘要 MC算法是三维重建面绘制的经典方法,采用等值面提取的方式把所需的数据分离出来进行重建。通过对MC算法的原理进行分析,结合VTK类库编程,研究基于MC算法提取CT图像病灶的方法,并通过坐标平滑的方法对算法进行改进,提高三维重建的平滑显示效果和重建速度。 MC algorithm is a classical method of three-dimensional reconstruction of surface rendering by extracting the isosurface to separate the needed data to accomplish the reconstruction. Aimming to improve the speed and smooth output effect of three-dimensional reconstruction. After analyzing the principle of the MC algorithm and the YTK class library programming, finds it productive to look into the method of extracting lesions from the CT results which is based on the MC algorithm. Furthermore, makes improvements of the algorithm by smoothing the coordinate, which results in the improvements of the speed and effect of the 3D reconstruction.
出处 《现代计算机》 2013年第13期20-22,共3页 Modern Computer
基金 湛江市2010年度科技攻关项目(No.2010C3111012) 广东医学院2011年度面上项目(No.M2011046)
关键词 MARCHING CUBES CT图像 三维重建 面绘制 VTK Marching Cubes CT Medical Image 3D Reconstruction Surface Rendering VTK
  • 相关文献

参考文献5

二级参考文献26

  • 1蒲超,张育民.医学图象三维处理算法与应用[J].兵工自动化,2004,23(6):28-30. 被引量:2
  • 2LORENSEN W E, CLINE H E. Marching cubes: a high resolution 3D surface construction algorithms [J]. Computer Graphics, 1987, 21(4): 163-169.
  • 3DURST M J. Additional reference to marching cubes[J]. Computer Graphics, 1998, 22(2):72-73.
  • 4NIELSON G, HAMANN B. The asymptotic decider resolving the ambiguity in Marching Cubes[C]. Proceedings of Visualization'91, 1991:83-91.
  • 5OH K M, PARK K H. A vertex merging algorithm for extraction a variable-resolution sosurface from volume data [C]. IEEE International Conference on System, Man and Cybernetics, 1995:3543-3548.
  • 6Prakoonwit S, Benjamin R. 3D surface point and wireframe reconstruction from multiview photographic images[J].Image and Vision Computing, 2007, 25(9):1509-1518.
  • 7Park J S, Chung M S, Hwang S B, et al. Visible korean human: Improved serially sectioned images of the entire body[J].IEEE Transactions on Medical Imaging, 2005, 24(3):352-360.
  • 8Riemer M, Schiemann T, Schubert R, et al. Creating a high-resolution spatial/symbolic model of the inner organs based on the visible human[J].Medical Image Analysis, 2001, 5(3): 221-228.
  • 9Gerard L. Vignoles, Marc Donias, et al. Simplified marching cubes: An efficient discretization scheme for simulations of deposition/ablation in complex media[J].Computational Materials Science, 2011, 50(3): 893-902.
  • 10Timothy S. Newman, Hong Yi. A survey of the marching cubes algorithm[J].Computers & Graphics, 2006, 30(5): 854-879.

共引文献17

同被引文献43

引证文献5

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部