The SEEG Contact Detector automates electrode localization in 3D Slicer, replacing time-consuming manual mapping with a 99.35% accurate non-linear modeling process. For clinicians and researchers, this tool provides a standardized, efficient workflow that minimizes human error and integrates seamlessly into existing surgical planning pipelines.
The SEEG Contact Detector for 3D Slicer automates intracranial electrode localization with 0.10mm accuracy, reducing manual work in epilepsy surgical planning.
Yes, the SEEG Contact Detector is an open-source extension available for free within the 3D Slicer platform, designed to lower barriers for clinical and research adoption.
The system achieves a median localization deviation of 0.10 mm, with a proven ability to correctly track over 99% of electrode contacts without requiring manual correction.
While the tool is highly automated, it includes built-in manual correction features that allow clinicians to intervene in the rare cases (0.65% in validation studies) where artifacts obscure the electrode trajectory.
The extension requires registered pre-operative MRI and post-operative CT scans to perform the anchor bolt initialization and probabilistic segmentation necessary for contact detection.