期刊文献+

基于参数化混合元球体表示的高分辨率DTI纤维丛可视化 被引量:2

Visualizing High-Resolution DTI Fibers with Parametric Merging Metaballs
下载PDF
导出
摘要 为了克服传统DTI可视化技术存在计算空间大、信息丢失等问题,提出一种基于Perfect Spatial Hashing稀疏数据压缩方法的高分辨率DTI纤维丛可视化方法.将流场可视化中的streamball表示改进为沿着积分曲线布局的可参数化混合元球体,并将这种参数化混合元球体表示规范为一个高分辨率的稀疏三维密度场;进而采用Perfect Spatial Hashing稀疏数据压缩方法压缩该密度场,在保持数据高精度的同时提供了数据的高效随机访问特性.实验结果表明,采用文中方法得到的可视化结果不仅能清晰地揭示组织结构的连通性,还能展示局部张量细节信息.用户只需简单地改变等值面参数就可实时观察可视化结果. We present a novel method for visualizing high-resolution DTI fibers with merging metaballs to cope with the problem of conventional DTI visualization approaches such as memory consuming,information losing.We extend the streamball in flow visualization to tensor merging metaballs and place them along integral curves,yielding a sparse 3D density influence field.To represent this sparse influence field,we use perfect spatial hashing method to compress it while retaining efficient data access.The resulting visualization shows that our approach can not only reveal the connectivity information in biological tissue,but also the local tensor details.By interactively changing the iso-value parameter,users can easily exploit the real-time visualization results.
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2011年第6期993-998,共6页 Journal of Computer-Aided Design & Computer Graphics
基金 国家"九七三"重点基础研究发展计划项目(2010CB732504) 国家自然科学基金(60873123 60903085) 浙江省自然科学基金(Y1080618) 浙江大学CAD&CG国家重点实验室开放课题(A0905)
关键词 弥散张量成像 可视化 元球 稀疏数据 数据压缩 DTI visualization metaball sparse data data compression
  • 相关文献

参考文献11

  • 1Basser P J, Pajevic S, Pierpaoli C, et al. In vivo fiber tractography using DT-MRI data [J]. Magnetic Resonance in Medicine, 2000, 44(4):625-632.
  • 2Xue R, van Zijl P C M, Crain B J, et al. In vivo three- dimensional reeonstruetion of rat brain axonal projections by diffusion tensor imaging [J]. Magnetic Resonance in Medicine, 1999, 42(6): 1123-1127.
  • 3Kindlmann G. Superquadric tensor glyphs [C] //Proceedings of IEEE TCVG Symposium on Visualization. Aire-la-Ville: Eurographics Association Press, 2004 : 147-154.
  • 4Kindlmann G, Westin C F. Diffusion tensor visualization with glyph packing [J]. IEEE Transactions on Visualization and Computer Graphics, 2006, 12(5) : 1329-1336.
  • 5Laidlaw D H, Ahrens E T, Kremers D, et al. Visualizing diffusion tensor images of the mouse spinal cord [C] // Proceedings of the Conference on Visualization. Los Alamitos: IEEE Computer Society Press, 1998:127-134.
  • 6Pierpaoli C, Basser P J. Toward a quantitative assessment of diffusion anisotropy[J].Magnetic Resonance in Medicine, 1996, 36(6): 893-906.
  • 7Chen W, Zhang S, Correia S, et al. Visualizing diffusion tensor imaging data with merging ellipsoids [C] //Proceedings of the IEEE Pacific Visualization Symposium. Piscataway: IEEE Computer Society Press, 2009:145-151.
  • 8Lefebvre S, Hoppe H. Perfect spatial hashing [J]. ACM Transactions on Graphic, 2006, 25(3): 579-588.
  • 9Mori S, van Zijl P C M. Fiber tracking: principles and strategies-a technical review [J].NMR in Biomedicine, 2002, 15(7/8) : 468-480.
  • 10Brill M, Djatschin W, Hagen H, etal. Streamball techniques for flow visualization [C] //Proceedings of the Conference on Visualization. Los Alamitos: IEEE Computer Soeiety Press, 1994:225-231.

同被引文献25

  • 1HuangJ, Tong Y Y, Wei H smooth 3D cross-frame field g[J] et al. Boundary aligned ACM Transactions on Graphics, 2011, 30(6) : Article No. 143.
  • 2Palacios J, Zhang E. Rotational symmetry field design on surfaces [J]. ACM Transactions on Graphics, 2007, 26 (3).
  • 3Article No. 55 Cabral B, Leedom L C. Imaging vector fields using line integral convolution [C] //Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH. New York: ACM Press, 1993:263-270.
  • 4Palacios J, Zhang E. Interactive visualization of rotational symmetry fields on surfaces[J]. IEEE Transactions on Visualization and Computer Graphics, 2011, 17(7)- 947-955.
  • 5Johnson C, Hansen C. The visualization handbook[M] Orlando: Academic Press, 2004.
  • 6Hertzmann A, Zorin D. Illustrating smooth surfaces [CJ // Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH. New York: ACM Press, 2000:517-526.
  • 7Ray N, Li W C, Lfvy B, et al. Periodic global parameterization [J]. ACM Transactions on Graphics, 2006, 25(4) : 1460-1485.
  • 8Ray N, Vallet B, Li W C, etal. N symmetry direction field design [J]. ACM Transactions on Graphics, 2008, 27 (2): Article No. 10.
  • 9Delmarcelle T, Hesselink L. The topology of symmetric, second-order tensor fields [C]//Proceedings of the Conference on Visualization. Los Alamitos: IEEE Computer Society Press, 1994- 140-147.
  • 10Gresh D L, Rogowitz B E, Winslow R L, etal. WEAVE: a system for visually linking 3D and statistical visualizations applied to cardiac simulation and measurement data [C]// Proceedings of IEEE Visualization. Los Alamitos, IEEE Computer Society Press, 2000:489-492.

引证文献2

二级引证文献2

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