Parcellation of the Auditory Cortex into Landmark---Related Regions of Interest

  • Authors:
  • Karin Engel;Klaus Tönnies;André Brechmann

  • Affiliations:
  • Otto von Guericke University Magdeburg, Germany;Otto von Guericke University Magdeburg, Germany;Leibniz Institute for Neurobiology Magdeburg, Germany

  • Venue:
  • CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
  • Year:
  • 2009

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Abstract

We propose a method for the automated delineation of cortical regions of interest as a basis for the anatomo---functional parcellation of the human auditory cortex using neuroimaging. Our algorithm uses the properties of the cortical surface, and employs a recent hierarchical part---based pattern recognition strategy for a semantically correct labelling of the temporal lobe. The anatomical landmarks are finally combined to obtain an accurate separation and parametrisation of two auditory cortical regions. Experimental results show the good performance of the approach that was automated using simplified atlas information.