Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending.

ABSTRACT:

Purpose

The accurate and automatic localisation of SEEG electrodes is crucial for determining the location of epileptic seizure onset. We propose an algorithm for the automatic segmentation of electrode bolts and contacts that accounts for electrode bending in relation to regional brain anatomy.

Methods

Co-registered post-implantation CT, pre-implantation MRI, and brain parcellation images are used to create regions of interest to automatically segment bolts and contacts. Contact search strategy is based on the direction of the bolt with distance and angle constraints, in addition to post-processing steps that assign remaining contacts and predict contact position. We measured the accuracy of contact position, bolt angle, and anatomical region at the tip of the electrode in

SUBMITTER: Granados A 

PROVIDER: S-EPMC5973981 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature