MFC: A Morphological Fiber Classification Approach

  • Diana RöttgerEmail author
  • Viktor Seib
  • Stefan Müller
Part of the Informatik aktuell book series (INFORMAT)


Diffusion imaging is a magnetic resonance imaging (MRI) technique that provides the examination of neuronal pathways in vivo. High angular resolution diffusion imaging (HARDI) is able to reconstruct more than one fiber population within one voxel and hence, overcomes the limitations of diffusion tensor imaging (DTI). Fiber tracking approaches can benefit from the additional data, but require information about the real fiber population to reconstruct fiber bundles. In this paper we evaluate recent scalar measures on HARDI data and introduce a novel global approach, a morphological filtering, to identify multiple fiber populations per voxel.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Tuch DS. Q-ball imaging. Magn Reson Med. 2004;52(6):1358–72.CrossRefGoogle Scholar
  2. 2.
    Frank LR. Characterization of anisotropy in high angular resolution diffusionweighted MRI. Magn Reson Med. 2002;47:1083–99.CrossRefGoogle Scholar
  3. 3.
    Chen Y, Guo W, et al QZ. Estimation, smoothing, and characterization of apparent diffusion coefficient profiles from high angular resolution DWI. Comput Vis Patt Recogn. 2004;1:588–93.Google Scholar
  4. 4.
    Descoteaux M, Angelino E, Fitzgibbons S, et al. Apparent diffusion coefficients from high angular resolution diffusion images: estimation and applications. Magn Reson Med. 2006;56:395–410.CrossRefGoogle Scholar
  5. 5.
    Descoteaux M, Angelino E, Fitzgibbons S, et al. Regularized, fast and robust analytical q-ball imaging. Magn Reson Med. 2007;58:497–510.CrossRefGoogle Scholar
  6. 6.
    Poupon C, Poupon F, Allirol L, et al. A database dedicated to anatomo-functional study of human brain connectivity. Neuroimage. 2006;646.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Computer Graphics Working GroupUniversity of KoblenzKoblenzGermany

Personalised recommendations