Comparison of interactive and automatic segmentation of stereoelectroencephalography electrodes on computed tomography post-operative images: preliminary results

Abstract

Stereoelectroencephalography is a surgical procedure used in the treatment of pharmacoresistant epilepsy. Multiple electrodes are inserted in the patient's brain in order to record the electrical activity and detect the epileptogenic zone at the source of the seizures. An accurate localisation of their contacts on post-operative images is a crucial step to interpret the recorded signals and achieve a successful resection afterwards. In this Letter, the authors propose interactive and automatic methods to help the surgeon with the segmentation of the electrodes and their contacts. Then, they present a preliminary comparison of the methods in terms of accuracy and processing time through experimental measurements performed by two users, and discuss these first results. The final purpose of this work is to assist the neurosurgeons and neurologists in the contacts localisation procedure, make it faster, more precise and less tedious.

Keywords

• electroencephalography
• medical image processing
• biomedical electrodes
• image segmentation
• medical disorders
• surgery
• neurophysiology
• computerised tomography
• interactive segmentation
• automatic segmentation
• stereoelectroencephalography electrodes
• computed tomography post-operative images
• surgical procedure
• multiple electrodes
• electrical activity
• epileptogenic zone
• seizures
• accurate localisation
• recorded signals
• successful resection
• processing time
• patient brain
• pharmacoresistant epilepsy treatment
• contact localisation procedure