Hippocampal shape analysis in the Laplace Beltrami feature space for temporal lobe epilepsy diagnosis and lateralization

Rosita Shishegar, Ziba Gandomkar, Hamid Soltanian-Zadeh, Seyed Reza Moghadasi

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

7 Citations (Scopus)


Shape analysis plays an important role in many medical imaging studies. One of the recent shape analysis methods uses the Laplace Beltrami operator which is also used in this paper for hippocampal shape comparison. We proposed a feature vector which consists of size measures and shape descriptors based on Laplace Beltrami eigenvalues and eigenfunctions. The aforementioned feature space is utilised for automatic differentiating normal subjects from epileptic patients as well as distinguishing epileptic patients with left temporal lobe epilepsy (LTLE) from patients with right temporal lobe epilepsy (RTLE). Achieved results are diagnostic accuracy of 93% with 95% sensitivity and lateralization accuracy of 86%. The results are comparable to spherical harmonic based shape analysis results and notably improved in comparison to volumetric analysis results.

Original languageEnglish
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings
Subtitle of host publicationFrom Nano to Macro
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781457718588
ISBN (Print)9781457718571
Publication statusPublished - 2012
Externally publishedYes
EventIEEE International Symposium on Biomedical Imaging (ISBI) 2012 - Centre de Convencions Internacional de Barcelona, Barcelona, Spain
Duration: 2 May 20125 May 2012
Conference number: 9th


ConferenceIEEE International Symposium on Biomedical Imaging (ISBI) 2012
Abbreviated titleISBI 2012
Internet address


  • Epilepsy disease
  • Hippocampus
  • Laplace Beltrami eigenvalues and eigenfunctions
  • MS complex
  • Shape analysis

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