A Comparative Analysis of Dimension Reduction Techniques for Representing DTI Fibers as 2D/3D Points

  • Xiaoyong Yang
  • Ruiyi Wu
  • Ziáng Ding
  • Wei Chen
  • Song Zhang
Conference paper

DOI: 10.1007/978-3-642-27343-8_9

Part of the Mathematics and Visualization book series (MATHVISUAL)
Cite this paper as:
Yang X., Wu R., Ding Z., Chen W., Zhang S. (2012) A Comparative Analysis of Dimension Reduction Techniques for Representing DTI Fibers as 2D/3D Points. In: Laidlaw D., Vilanova A. (eds) New Developments in the Visualization and Processing of Tensor Fields. Mathematics and Visualization. Springer, Berlin, Heidelberg

Abstract

Dimension Reduction is the process of transfering high-dimensional data into lower dimensions while maintaining the original intrinsic structures. This technique of finding low-dimensional embedding from high-dimensional data is important for visualizing dense 3D DTI fibers because it is hard to visualize and analyze the fiber tracts with high geometric, spatial, and anatomical complexity. Color-mapping, selection, and abstraction are widely used in DTI fiber visualization to depict the properties of fiber models. Nonetheless, visual clutters and occlusion in 3D space make it hard to grasp even a few thousand fibers. In addition, real time interaction (exploring and navigating) on such complex 3D models consumes large amount of CPU/GPU power. Converting DTI fiber to 2D or 3D points with dimension reduction techniques provides a complimentary visualization for these fibers. This chapter analyzes and compares dimension reduction methods for DTI fiber models. An interaction interface augments the 3D visualization with a 2D representation that contains a low-dimensional embedding of the DTI fibers. To achieve real-time interaction, the framework is implemented with GPU programming.

Copyright information

© Springer Berlin Heidelberg 2012

Authors and Affiliations

  • Xiaoyong Yang
    • 1
  • Ruiyi Wu
    • 1
  • Ziáng Ding
    • 2
  • Wei Chen
    • 2
  • Song Zhang
    • 1
  1. 1.Department of Computer Science and EngineeringMississippi State UniversityStarkvilleUSA
  2. 2.State Key Laboratory of CAD & CGZhejiang UniversityHangzhouChina

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