Brain parcellation aids in electrode localization in epileptic patients

  • Authors:

  • Jue Wu;Kathryn Davis;Allan Azarion;Yuanjie Zheng;Hongzhi Wang;Brian Litt;James Gee

  • Affiliations:

  • Department of Radiology, Perelman School of Medicine, University of Pennsylvania;Department of Neurology and Penn Epilepsy Center, Perelman School of Medicine, University of Pennsylvania;Department of Neurology and Penn Epilepsy Center, Perelman School of Medicine, University of Pennsylvania;Department of Radiology, Perelman School of Medicine, University of Pennsylvania;Department of Radiology, Perelman School of Medicine, University of Pennsylvania;Department of Neurology and Penn Epilepsy Center, Perelman School of Medicine, University of Pennsylvania;Department of Radiology, Perelman School of Medicine, University of Pennsylvania

  • Venue:
  • AE-CAI'11 Proceedings of the 6th international conference on Augmented Environments for Computer-Assisted Interventions
  • Year:
  • 2011

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Abstract

Purpose: We aim to enhance the electrode localization with reference to spatial neuroanatomy in intracranial electroencephalogram (IEEG), which provides greater spatial resolution than traditional scalp electroencephalogram. Methods: CT-MR rigid registration, MR non-rigid registration and prior-based segmentation are employed in an image processing pipeline to normalize patient CT, patient MR and an external labeled atlas to the same space. Results: Despite possible abnormal cerebral structure and postoperative brain deformation, the proposed pipeline is able to automatically superimpose all the electrodes on the patient's parcellated brain and visualize epileptogenic foci and IEEG events. Conclusion: This work will greatly diminish epileptologist' manual work and the potential for human error, allowing for automated and accurate detection of the anatomical position of electrodes. It also demonstrates the feasibility of applying brain parcellation to epileptic brains.