• DocumentCode
    573585
  • Title

    Statistical shape analysis of hippocampus in temporal lobe epilepsy based on Laplace-Beltrami eigenfunction level sets

  • Author

    Shishegar, Rosita ; Soltanian-Zadeh, Hamid ; Tehranipour, Farhad

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
  • fYear
    2012
  • fDate
    2-3 May 2012
  • Firstpage
    364
  • Lastpage
    369
  • Abstract
    Shape analysis plays an important role in many medical imaging studies. One of the recent shape analysis methods uses the Laplace Beltrami operator. This article studies the deformation of hippocampus in temporal lobe epilepsy based on Laplace Beltrami operator. The level sets of Laplace Beltrami eigenfunctions are automatically extracted and their circumferences are used as a measure of thickness. Statistical maps of corresponding level sets are computed and visualized using an average atlas. The results suggest significant deformation in both ipsilateral and contralateral hippocampi of epileptic patients. Also it is shown that the pattern of deformation in the seizer side and the other hippocampi are different. Relative to the previous statistical shape analysis studies in epilepsy, the proposed method gives comparable results with the advantage of no need for alignment.
  • Keywords
    diseases; eigenvalues and eigenfunctions; medical image processing; statistical analysis; Laplace-Beltrami eigenfunction level sets; contralateral hippocampi; epileptic patient; hippocampus; ipsilateral hippocampi; medical imaging; statistical maps; statistical shape analysis; temporal lobe epilepsy; Eigenvalues and eigenfunctions; Epilepsy; Feature extraction; Hippocampus; Level set; Shape; Epilepsy disease; Hippocampus; Laplace Beltrami eigenfunctions; Statistical shape analysis; level set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
  • Conference_Location
    Shiraz, Fars
  • Print_ISBN
    978-1-4673-1478-7
  • Type

    conf

  • DOI
    10.1109/AISP.2012.6313774
  • Filename
    6313774