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MFC: A Morphological Fiber Classification Approach

Part of the Informatik aktuell book series (INFORMAT)

Abstract

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.

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Correspondence to Diana Röttger .

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© 2011 Springer-Verlag Berlin Heidelberg

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Röttger, D., Seib, V., Müller, S. (2011). MFC: A Morphological Fiber Classification Approach. In: Handels, H., Ehrhardt, J., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2011. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19335-4_75

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