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Pathology-Related Automated Hippocampus Segmentation Accuracy

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

Abstract

Hippocampal segmentation accuracy of out-of-the-box software tools (FreeSurfer, AHEAD, BrainParser) is analysed wrt. potential variability in populations with different pathologies. Findings confirm variabilities wrt. different pathologies but also human rater ground truth and single pathologies exhibit significant variability as well.

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Copyright information

© Springer-Verlag GmbH Deutschland 2017

Authors and Affiliations

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

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