Can SPHARM-based features from automated or manually segmented hippocampi distinguish between MCI and TLE?

Michael Liedlgruber, Kevin Butz, Yvonne Höller, Georgi Kuchukhidze, Alexandra Taylor, Aljoscha Thomschevski, Ottavio Tomasi, Eugen Trinka, Andreas Uhl*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Spherical Harmonics (SPHARM), when computed from hippocampus segmentations, have been shown to be useful features for discriminating patients with mild cognitive impairment (MCI) from healthy controls. In this paper we use this approach to discriminate patients with temporal lobe epilepsy (TLE) from healthy controls and for the first time, we aim to discriminate TLE patients from MCI ones. When doing so, we assess the impact of (i) using three different automated hippocampus segmentation techniques and (ii) three human raters with different qualification providing manual segmentation labels. We find that (only a fusion of) the considered automated segmentation tools deliver segmentation data which can finally be used to discriminate TLE from MCI, but for discriminating TLE from healthy controls automated techniques do not help. Further, the qualification of human segmenters has a decisive impact on the outcome of subsequent SPHARM-based classification, especially for distinguishing TLE from healthy controls (which is obviously the more difficult task).

Original languageEnglish
Title of host publicationImage Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings
EditorsIda-Maria Sintorn, Michael Felsberg, Per-Erik Forssén, Jonas Unger
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783030202040
Publication statusPublished - 2019
Externally publishedYes
Event21st Scandinavian Conference on Image Analysis, SCIA 2019 - Norrköping, Sweden
Duration: 11 Jun 201913 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11482 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference21st Scandinavian Conference on Image Analysis, SCIA 2019

Bibliographical note

Funding Information:
Acknowledgments. This work has been partially funded by the Austrian Science Fund (FWF) under Project No. KLI12-B00.

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Other keywords

  • Hippocampus segmentation
  • MCI
  • Spherical Harmonics
  • TLE


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