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Proceedings Paper

Characterizing subdural EEG electrode grids in a virtual realistic environment
Author(s): Herke Jan Noordmans; R. Hoekema; P. C. van Rijen; C. W. M. van Veelen; Max A. Viergever
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Paper Abstract

When the focus of epilepsy is so deep that skin EEG electrodes do not give enough accuracy in calculating the position of the focus, it may be decided to surgically implant EEG electrodes inside the patient's head. To localize these electrodes, a high resolution CT scan is made of the patients' head. As manual tracking of the electrodes slice by slice is confusing and erroneous, a virtual reality environment has been created to give the radiologist a view from inside the patient's skull. With the help of a high quality but fast volume renderer, the radiologist can get an overview of electrode grids and can interactively characterize the grid contacts of interest;. For the localization of the contracts, we compared manual placement, center of gravity and Gaussian template matching. It appeared that the grid contacts could be characterized with an accuracy of 0.5 mm, that manual positioning and template matching with a Gaussian with flexible sizes clearly outperformed center of gravity and template matching with an isotropic Gaussian. The reason is that although the contacts are clearly visible in a CT, their small dimensions, and proximity to skull and metal wires, makes them more difficult to characterize fully automatically than commonly expected.

Paper Details

Date Published: 18 April 2000
PDF: 10 pages
Proc. SPIE 3976, Medical Imaging 2000: Image Display and Visualization, (18 April 2000); doi: 10.1117/12.383045
Show Author Affiliations
Herke Jan Noordmans, Univ. Medical Ctr. (Netherlands)
R. Hoekema, Univ. Medical Ctr. (Netherlands)
P. C. van Rijen, Univ. Medical Ctr. (Netherlands)
C. W. M. van Veelen, Univ. Medical Ctr. (Netherlands)
Max A. Viergever, Univ. Medical Ctr. (Netherlands)


Published in SPIE Proceedings Vol. 3976:
Medical Imaging 2000: Image Display and Visualization
Seong Ki Mun, Editor(s)

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