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Fig. 1 | BMC Bioinformatics

Fig. 1

From: SEEG assistant: a 3DSlicer extension to support epilepsy surgery

Fig. 1

SEEG Assistant Framework is composed of three interconnected elements. The figure illustrates the three modules constituting the backbone of SEEGA module (light green box), their relations (dark green arrow), and I/O. Contact Position Estimator (CPE) extracts the contact positions from post-implant CT data provided the entry/target points for each implanted electrode (Fiducial File) and several parameters. These latter consist in the implanted electrode model (i.e., number contacts and inter-contact distance) and two boolean parameters. CPE outputs a fiducial file (Recon File) containing all segemented channel positions in the reference image (i.e., CT scanner space) along with contact label. In the test settings, electrodes are marked with a single capital letter (e.g., A or B) and channels are identified with increasing numbers (e.g., A1). The next two modules namely Grey Matter Proximity Index Estimator (GMPIE) and Brain Zone Detector (BZD) can be used without a specific order since they do not depends on each other. The former uses the segmented channel positions and pial/white matter Surfaces (e.g. Freesurfer) and computes for each contact the distance from white/grey boundary normalized to the cortical thickness. The latter uses contact positions and a volumetric probabilitic parcellation (e.g. Destrieux) and estimates the probability (i.e., proximity) of given source/anatomical area to be the generator of the recorded electrophysiological activity. All these information are added to the Recon File that can be saved for later usage or inspected from 3DSlicer interface

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