AUTOMATIC DEPTH ELECTRODE LOCALIZATION IN INTRACRANIAL SPACE

Janis Hofmanis, Valerie Louis-Dor, Olivier Caspary, Louis Maillard

2011

Abstract

Localization and precise targeting of depth electrodes in the regions of the human brain is critical for accurate clinical diagnoses and treatment as well as for epileptical source localization and studies of in-vivo electrical propagation. By using magnetic resonance imaging (MRI) combined with computed tomography (CT), the authors present a method based on image processing and object recognition that improves electrode localization in different brain anatomies and matter. This method permits the quantified localization of electrode placements in cortex and white matter, and gives the precise position of each electrode, allowing a more detailed study of intra-cranial electrical stimulation, propagation and properties of conductivity related to the brain. Such methods can be extended to depth-scalp signal analysis using simultaneously registered SEEG and EEG measurements.

References

  1. Bricq, S., Collet, C., and Armspach, J. (2008). Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains. Medical Image Analysis, 12(6):639-652.
  2. Collignon, A., Maes, F., Delaere, D., Vandermeulen, D., Suetens, P., and Marchal, G. (1995). Automated multi-modality image registration based on information theory. Information Processing in Medical Imaging, 1(1):263-274.
  3. Dale, A., Fischl, B., and Sereno, M. (1999). Cortical surface-based analysis. i. segmentation and surface reconstruction. Neuroimage, 9:179-194.
  4. Dugas-Phocion, G., Ballester, M., Malandain, G., Lebrun, C., and Ayache, N. (2004). Improved EM-based tissue segmentation and partial volume effect quantification in multi-sequence brain MRI. Medical Image Computing and Computer-Assisted Intervention, pages 26-33.
  5. Duncan, J., Papademetris, X., Yang, J., Jackowski, M., Zeng, X., and Staib, L. (2004). Geometric strategies for neuroanatomic analysis from mri. Neuroimage, 23:34-45.
  6. Ekstrom, A., Suthana, N., Behnke, E., Salamon, N., Bookheimer, S., and Fried, I. (2009). High-resolution depth electrode localization and imaging in patients with pharmacologically intractable epilepsy. Stereotactic and Functional Neurosurgery, 4(108):812-815.
  7. Hahn, H. and Peitgen, H. (2000). The skull stripping problem in mri solved by a single 3d watershed transform. Medical image computing and computer-assisted intervention, 1935:134-143.
  8. Lee, T., Fauzi, M., and Komiya, R. (2008). Segmentation of ct head images. BioMedical Engineering and Informatics, 2:233-237.
  9. Maldjiana, J., Chalelaa, J., Kasnera, S., Liebeskinda, D., and Detrea, J. (2001). Automated ct segmentation and analysis for acute middle cerebral artery stroke. American Journal of Neuroradiology, 22:1050-1055.
  10. Miller, K., Makeig, S., Hebbb, A., Raoc, R., Dennijs, M., and Ojemannb, J. (2007). Cortical electrode localization from x-rays and simple mapping for electrocorticographic research: The location on cortex (loc) package for matlab. Journal of Neuroscience Methods, 162:303-308.
  11. Oya, H., Kawasaki, H., Dahdaleh, N., Wemmie, J., and Howard, M. (2009). Stereotactic atlas-based depth electrode localization in the human amygdala. Stereotactic and Functional Neurosurgery, 4(87):219-228.
  12. Talairach, J., Bancoud, J., Szikla, G., Bonis, A., Geier, S., and Vedrenne, C. (1974). New approach to the neurosurgery of epilepsy. stereotaxic methodology and therapeutic results. 1. introduction and history. Neurochirurgie, 20:1-240.
  13. Wells, W., Viola, P., Atsumi, H., Nakajima, S., and Kikinis, R. (1996). Multi-modal volume registration by maximisation of mutual information. Medical Image Analysis, 1(1):35-51.
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Paper Citation


in Harvard Style

Hofmanis J., Louis-Dor V., Caspary O. and Maillard L. (2011). AUTOMATIC DEPTH ELECTRODE LOCALIZATION IN INTRACRANIAL SPACE . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 459-462. DOI: 10.5220/0003160204590462


in Bibtex Style

@conference{biosignals11,
author={Janis Hofmanis and Valerie Louis-Dor and Olivier Caspary and Louis Maillard},
title={AUTOMATIC DEPTH ELECTRODE LOCALIZATION IN INTRACRANIAL SPACE},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={459-462},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003160204590462},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - AUTOMATIC DEPTH ELECTRODE LOCALIZATION IN INTRACRANIAL SPACE
SN - 978-989-8425-35-5
AU - Hofmanis J.
AU - Louis-Dor V.
AU - Caspary O.
AU - Maillard L.
PY - 2011
SP - 459
EP - 462
DO - 10.5220/0003160204590462