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
Link To Document :
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