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Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection

  • A. Uhl
  • M. Liedlgruber
  • K. Butz
  • Y. Höller
  • G. Kuchukhidze
  • A. Taylor
  • A. Thomschevski
  • O. Tomasi
  • E. Trinka
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

Spherical Harmonics (SPHARM), when computed from hippocampus segmentation, have been shown to be useful features for discriminatingMCI affected patients from healthy controls. In this paper we assess the impact (i) of using different hippocampus segmentation techniques, among them three out-of-the-box automated segmentation tools and three human raters with different qualification, and (ii) of applying different strategies which SPHARM coefficients to submit to SVM-based two-class classification. We find that both choices are crucial for successful classification.

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Copyright information

© Springer-Verlag GmbH Deutschland 2018

Authors and Affiliations

  • A. Uhl
    • 1
  • M. Liedlgruber
    • 1
  • K. Butz
    • 2
    • 3
  • Y. Höller
    • 2
  • G. Kuchukhidze
    • 2
  • A. Taylor
    • 2
  • A. Thomschevski
    • 2
    • 3
  • O. Tomasi
    • 4
  • E. Trinka
    • 2
    • 3
  1. 1.Department of Computer SciencesUniversity of SalzburgSalzburgÖsterreich
  2. 2.Department of Neurology, Christian Doppler Medical Centre and Centre for Cognitive NeuroscienceParacelsus Medical UniversitySalzburgÖsterreich
  3. 3.Spinal Cord Injury and Tissue Regeneration Centre SalzburgSalzburgÖsterreich
  4. 4.Department of NeurosurgeryParacelsus Medical UniversitySalzburgÖsterreich

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