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Interpolating 3D Diffusion Tensors in 2D Planar Domain by Locating Degenerate Lines

  • Chongke Bi
  • Shigeo Takahashi
  • Issei Fujishiro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6453)

Abstract

Interpolating diffusion tensor fields is a key technique to visualize the continuous behaviors of biological tissues such as nerves and muscle fibers. However, this has been still a challenging task due to the difficulty to handle possible degeneracy, which means the rotational inconsistency caused by degenerate points. This paper presents an approach to interpolating 3D diffusion tensors in 2D planar domains by aggressively locating the possible degeneracy while fully respecting the underlying transition of tensor anisotropy. The primary idea behind this approach is to identify the degeneracy using minimum spanning tree-based clustering algorithm, and resolve the degeneracy by optimizing the associated rotational transformations. Degenerate lines are generated in this process to retain the smooth transitions of anisotropic features. Comparisons with existing interpolation schemes will be also provided to demonstrate the technical advantages of the proposed approach.

Keywords

Fractional Anisotropy Diffusion Tensor Rotation Matrice Anisotropic Feature Diffusion Tensor Magnetic Resonance Imaging 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Chongke Bi
    • 1
  • Shigeo Takahashi
    • 1
  • Issei Fujishiro
    • 2
  1. 1.Graduate School of Frontier SciencesThe University of TokyoJapan
  2. 2.Department of Information and Computer ScienceKeio UniversityJapan

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