Investigation of brain tissue segmentation error and its effect on EEG source localization

Shirvany, Yazdan, Porras, Antonio R., Kowkabzadeh, Koushyar, Mahmood, Qaiser, Lui, Hoi-Shun and Persson, Mikael (2012). Investigation of brain tissue segmentation error and its effect on EEG source localization. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA, United States, (1522-1525). 29 August - 1 September 2012. doi:10.1109/EMBC.2012.6346231

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Author Shirvany, Yazdan
Porras, Antonio R.
Kowkabzadeh, Koushyar
Mahmood, Qaiser
Lui, Hoi-Shun
Persson, Mikael
Title of paper Investigation of brain tissue segmentation error and its effect on EEG source localization
Conference name 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Conference location San Diego, CA, United States
Conference dates 29 August - 1 September 2012
Proceedings title 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)   Check publisher's open access policy
Journal name Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS   Check publisher's open access policy
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2012
Year available 2012
Sub-type Fully published paper
DOI 10.1109/EMBC.2012.6346231
ISBN 9781424441198
9781424441204
ISSN 1557-170X
Start page 1522
End page 1525
Total pages 4
Collection year 2013
Language eng
Abstract/Summary Surgical therapy has become an important therapeutic alternative for patients with medically intractable epilepsy. Correct and anatomically precise localization of the epileptic focus, preferably with non-invasive methods, is the main goal of the pre-surgical epilepsy diagnosis to decideif resection of brain tissue is possible. For evaluating the performance of the source localization algorithms in an actual clinical situation, realistic patient-specific human head models that incorporate the heterogeneity nature of brain tissues is required. In this paper, performance of two of the most widely used software packages for brain segmentation, namely FSL and FreeSurfer has been analyzed. Then a segmented head model from a package with better performance is used to investigate the effects of brain tissue segmentation in EEG source localization.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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Created: Thu, 11 Apr 2013, 14:45:53 EST by Antony Lui on behalf of School of Information Technol and Elec Engineering