Share Email Print

Proceedings Paper

Registration of EEG electrode positions to PET and fMRI images
Author(s): Žiga Špiclin; Boštjan Likar; Franjo Pernuš
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Integration and correlation of brain's electrical (EEG) and physiological activity (PET, fMRI) is crucial for the early evaluation of patients with neurophysiological disorders, such as epilepsy. Based on the scalp-recorded EEG signals, the source image of brain's electrical activity can be reconstructed and spatially correlated with tomographic functional images, thereby aiding to the characterization and localization of epileptic foci. However, mis-localization of the electrode positions, with respect to the underlying anatomy, adversely affects the localization precision performed by the interpretation of the source image. In this paper, a novel method for registration of EEG electrode positions to tomographic functional images of the brain is proposed. Accuracy and robustness of the registration were evaluated on three databases of real and simulated PET and real fMRI images. The registration method showed good convergence properties for both PET [>10 mm] and especially fMRI images [>30 mm]. Based on Monte Carlo simulations, the obtained mean registration error of electrode positions in tomographic functional images was in the range of 1-2 corresponding voxel size. In this way, the constant bias in the reconstructed source image, that is due to the mis-registration of EEG electrode positions, can be suppressed with respect to the random errors induced by EEG signal noise. Finally, we aim to improve, or at all enable, the integration and application of the many functional modalities involved in the analysis and evaluation of clinical neurophysiological disorders.

Paper Details

Date Published: 27 March 2009
PDF: 11 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592J (27 March 2009); doi: 10.1117/12.811892
Show Author Affiliations
Žiga Špiclin, Univ. of Ljubljani (Slovenia)
Boštjan Likar, Univ. of Ljubljani (Slovenia)
Franjo Pernuš, Univ. of Ljubljani (Slovenia)

Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

© SPIE. Terms of Use
Back to Top