Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling

  • Bo Zheng
  • Jagath C. Rajapakse
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4774)

Abstract

Diffusion Tensor MR Imaging (DTI) provides non-invasive approach to track white matter (WM) trajectories within human brain in vivo, and thereby facilitates studies of anatomical connectivity between sub-cortical and cortical regions. This paper presents a probabilistic fiber tracking framework, which aims to address the two problems in earlier approaches: first, it does not adopt fractional anisotropy (FA) as the stopping criteria so that the exploration of cortico-cortical connectivity is feasible; secondly, fiber tracking process is regularized so that trajectory with low curvature means high belief of connection between two voxels.

Keywords

Fractional Anisotropy Seed Point Tracking Process Fiber Tracking Tracking Approach 
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 2007

Authors and Affiliations

  • Bo Zheng
    • 1
  • Jagath C. Rajapakse
    • 1
    • 2
  1. 1.BioInformatics Research Center, School of Computer Engineering, Nanyang Technological University, 50 Nanyang AvenueSingapore 639798
  2. 2.Singapore-MIT Alliance, N2-B2C-15, 50 Nanyang AvenueSingapore

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