Investigation of brain tissue segmentation error and its effect on EEG source localization
Paper in proceeding, 2012

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 decide if 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.

Head model

Noninvasive methods

Source localization

Clinical situations

Surgical therapy

Brain segmentation

EEG source localization

Epileptic foci

Brain tissue

Human head model

Author

Yazdan Shirvany

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering, Signal Processing

Antonio Reyes Porras Péres

Student at Chalmers

Koushyar Kowkabzadeh

Student at Chalmers

Mahmood Qaiser

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering, Biomedical Electromagnetics

Hoi-Shun Lui

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering, Biomedical Electromagnetics

Mikael Persson

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering, Signal Processing

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

1557170X (ISSN)

1522-1525 6346231
978-142444119-8 (ISBN)

Subject Categories

Medical Engineering

DOI

10.1109/EMBC.2012.6346231

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