DocumentCode :
2725667
Title :
Epileptic source localization using wavelet prefiltering and MUSIC scanning
Author :
Ademoglu, Ahmet ; Demiralp, Tamer ; Istefanopolus, Y. ; Comu, Sinan ; Baykan, Betul
Author_Institution :
Inst. of Biomed. Eng., Bogazici Univ., Istanbul, Turkey
Volume :
3
fYear :
2003
fDate :
17-21 Sept. 2003
Firstpage :
2366
Abstract :
The epileptic focus localization in the 3-D brain structure is performed using integer spline wavelet prefiltering and source localization. The forward and inverse problems are solved by Boundary Element Method (BEM) and MUSIC (Multiple Signal Classification) Scanning algorithm, respectively. The realistic head model is obtained by using an average human MRI data released by the Montreal Neurological Institute (MNI). 19 Channel EEG data from three different patients are collected. The technique is tested on these three clinical cases with secondary epileptic seizures based on morphological lesions that could be depicted in the anatomical MRI examinations of the patients. The estimated locations of the generators of interictal epileptiform signals correspond well to the surrounding neural tissue of the lesions. Especially, the disappearance of the seizures in two operated patients after the removal of the astrocytomas verifies the results. The wavelet prefiltering facilitates the visual inspection and detection of the interictal epileptic spikes and the BEM based on a realistic head model gives a more accurate anatomical localization for the focus. A focal source model is widely accepted in many cases of epilepsy and the MUSIC scanning seems to be very suitable for localizing these type of sources.
Keywords :
biomedical MRI; brain models; diseases; electroencephalography; medical signal processing; 3D brain structure; Channel EEG data; MUSIC scanning; Montreal Neurological Institute; anatomical localization; astrocytomas removal; average human MRI data; boundary element method; epileptic focus localization; epileptic source localization; integer spline wavelet prefiltering; interictal epileptic spikes; morphological lesions; multiple signal classification scanning algorithm; neural tissue; realistic head model; secondary epileptic seizures; visual inspection; wavelet prefiltering; Boundary element methods; Brain modeling; Classification algorithms; Epilepsy; Humans; Inverse problems; Lesions; Magnetic resonance imaging; Multiple signal classification; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1280391
Filename :
1280391
Link To Document :
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