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Published in: International Journal of Computer Assisted Radiology and Surgery 1/2014

01-01-2014 | Original Article

Electrode localization for planning surgical resection of the epileptogenic zone in pediatric epilepsy

Authors: Vahid Taimouri, Alireza Akhondi-Asl, Xavier Tomas-Fernandez, Jurriaan M. Peters, Sanjay P. Prabhu, Annapurna Poduri, Masanori Takeoka, Tobias Loddenkemper, Ann Marie R. Bergin, Chellamani Harini, Joseph R. Madsen, Simon K. Warfield

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 1/2014

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Abstract

Purpose

   In planning for a potentially curative resection of the epileptogenic zone in patients with pediatric epilepsy, invasive monitoring with intracranial EEG is often used to localize the seizure onset zone and eloquent cortex. A precise understanding of the location of subdural strip and grid electrodes on the brain surface, and of depth electrodes in the brain in relationship to eloquent areas is expected to facilitate pre-surgical planning.

Methods

   We developed a novel algorithm for the alignment of intracranial electrodes, extracted from post-operative CT, with pre-operative MRI. Our goal was to develop a method of achieving highly accurate localization of subdural and depth electrodes, in order to facilitate surgical planning. Specifically, we created a patient-specific 3D geometric model of the cortical surface from automatic segmentation of a pre-operative MRI, automatically segmented electrodes from post-operative CT, and projected each set of electrodes onto the brain surface after alignment of the CT to the MRI. Also, we produced critical visualization of anatomical landmarks, e.g., vasculature, gyri, sulci, lesions, or eloquent cortical areas, which enables the epilepsy surgery team to accurately estimate the distance between the electrodes and the anatomical landmarks, which might help for better assessment of risks and benefits of surgical resection.

Results

   Electrode localization accuracy was measured using knowledge of the position of placement from 2D intra-operative photographs in ten consecutive subjects who underwent intracranial EEG for pediatric epilepsy. Average spatial accuracy of localization was \(1.31\pm 0.69 \text{ mm }\) for all 385 visible electrodes in the photos.

Conclusions

   In comparison with previously reported approaches, our algorithm is able to achieve more accurate alignment of strip and grid electrodes with minimal user input. Unlike manual alignment procedures, our algorithm achieves excellent alignment without time-consuming and difficult judgements from an operator.
Footnotes
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The currently distributed software is available from http://​www.​crl.​med.​harvard.​edu/​software.
 
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Metadata
Title
Electrode localization for planning surgical resection of the epileptogenic zone in pediatric epilepsy
Authors
Vahid Taimouri
Alireza Akhondi-Asl
Xavier Tomas-Fernandez
Jurriaan M. Peters
Sanjay P. Prabhu
Annapurna Poduri
Masanori Takeoka
Tobias Loddenkemper
Ann Marie R. Bergin
Chellamani Harini
Joseph R. Madsen
Simon K. Warfield
Publication date
01-01-2014
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 1/2014
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-013-0915-6

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