UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS

Guest
2024-11-23 18:08
 HOME     CONFERENCES     SEARCH            LOGIN     NEW USER     IMAGES   


Conference: Bucharest University Faculty of Physics 2017 Meeting


Section: Biophysics; Medical Physics


Title:
The automatic detection of the stereo-EEG depth electrodes position


Authors:
Hong YU(1), Constantin PISTOL(2), Ronald FRANKLIN(3), Andrei BARBORICĂ(2,3)


Affiliation:
1) Department of Neurosurgery, Vanderbilt University, Nashville, TN

2) Physics Department, Bucharest University, Bucharest, Romania

3) FHC Inc, Bowdoin, ME


E-mail
costi.pistol@gmail.com


Keywords:
Epilepsy, stereo-EEG, frameless stereotaxy


Abstract:
Objectives: We aim at performing the automatic detection of the intracranial depth electrodes position in order to evaluate the localization errors between planned and actual position of each electrode. Methods: 152 electrodes were implanted in the 19 patients with drug resistant epilepsy, using the microTargeting StarFix customized stereotactic fixture. To eliminate any subjectivity in the localization of the final electrode locations, an automatic detection of electrodes’ contacts has been performed using DEETO (Arnulfo et al., 2015). Additional Matlab (Mathworks, Natick, MA) code was written to read the surgical plan files created in Waypoint Navigator (FHC Inc, Bowdoin, ME), perform the 3D transformations between coordinate spaces of the pre-operative and post-operative scans, pass parameters to Deeto and read its output. The detected electrode positions were exported in Matlab in a format compatible with 3D Slicer (Fedorov et al., 2012) and the validity of the detections was visually inspected. Results: The most important results obtained in this study are the values of 1.25 ± 0.82 mm for lateral localization error at the entry point (LEPLE) and 1.24±1.05 mm for lateral localization error at the target point (LTPLE), which are comparable to the accuracy of most frame-based and frameless systems. For target depth error a value of 3.80 mm was obtained. Conclusion: The workflow we have developed minimizes the time and maximizes the accuracy of the post-operative electrode localization. Using this method, we have demonstrated that personalized stereotactic fixtures are safe and accurate devices for the implantation of depth electrodes in patients undergoing presurgical evaluation for drug-resistant epilepsy.


References:

Arnulfo G, Narizzano M, Cardinale F, Fato MM, Palva JM (2015). Automatic segmentation of deep intracerebral electrodes in computed tomography scans. BMC Bioinformatics 16:99. doi:10.1186/s12859-015-0511-6.

Cardinale F, Cossu M, Castana L, Casaceli G, Schiariti MP, Miserocchi A, Fuschillo D, Moscato A, Caborni C, Arnulfo G, Lo Russo G (2013). Stereoelectroencephalography: Surgical methodology, safety, and stereotactic application accuracy in 500 procedures. Neurosurgery, 72(3):353-366.

Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J-C, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller JV, Pieper S, Kikinis R (2012). 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn. Reson. Imaging 30(9):1323-1341.

Acknowledgement:
We would like to thank John Fitzpatrick, Eric Newberg, Sam Davidson and Andy Haer for their contributions to the development of the stereotactic platform.