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Fusing Markov Random Fields with Anatomical Knowledge and Shape Based Analysis to Segment Multiple Sclerosis White Matter Lesions in Magnetic Resonance Images of the Brain

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Bildverarbeitung für die Medizin 2002

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

An image analysis system to segment multiple sclerosis lesions of (MR) brain volumes is proposed. The method uses Markov Random Fields (MRF) both at low and high levels. The neighborhood system used in this MRF is defined in three types: (1) Voxel to voxel: a low-level heterogeneous neighborhood used to restore noisy images. (2) Voxel to segment: a fuzzy atlas is registered elastically with the MRF then used as a-priori knowledge to correct miss-classified voxels. (3) Segment to segment: Lesion candidates are processed by a feature based classifier that looks at unary and neighborhood information to eliminate false positives.

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References

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Author information

Authors and Affiliations

  1. Institute for Simulation and Graphics, Otto-von-Guericke University of Magdeburg, Germany

    Stephan Al-Zubi & Klaus Toennies

  2. Department of Neurology II, Otto-von-Guericke University of Magdeburg, Germany

    Nils Bodammer & Hermann Hinrichs

Authors
  1. Stephan Al-Zubi
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  2. Klaus Toennies
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  3. Nils Bodammer
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  4. Hermann Hinrichs
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Editor information

Editors and Affiliations

  1. Institut für Informatik, Universität Leipzig, Augustusplatz 10 - 12, 04109, Leipzig, Deutschland

    Monika Meiler  & Dietmar Saupe  & 

  2. Max-Planck-Institut für neuropsychologische Forschung Leipzig, Stephanstraße 1a, 04103, Leipzig, Deutschland

    Frithjof Kruggel

  3. Institut für Medizinische Informatik, Medizinische Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Deutschland

    Heinz Handels

  4. Institut für Medizinische Informatik, Universitätsklinikum der RWTH Aachen, Pauwelsstraße 30, 52057, Aachen, Deutschland

    Thomas M. Lehmann

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© 2002 Springer-Verlag Berlin Heidelberg

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Al-Zubi, S., Toennies, K., Bodammer, N., Hinrichs, H. (2002). Fusing Markov Random Fields with Anatomical Knowledge and Shape Based Analysis to Segment Multiple Sclerosis White Matter Lesions in Magnetic Resonance Images of the Brain. In: Meiler, M., Saupe, D., Kruggel, F., Handels, H., Lehmann, T.M. (eds) Bildverarbeitung für die Medizin 2002. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55983-9_42

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  • DOI: https://doi.org/10.1007/978-3-642-55983-9_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43225-8

  • Online ISBN: 978-3-642-55983-9

  • eBook Packages: Springer Book Archive

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