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Updated: Feb 27, 2026

Robotic-Guided Stereoelectroencephalography for Invasive Epilepsy Monitoring
Published on: June 13, 2025
A surgical robot with augmented reality visualization for stereoelectroencephalography electrode implantation
Bowei Zeng1, Fanle Meng1, Hui Ding1
1Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.
This study introduces an augmented reality system for stereoelectroencephalography (SEEG) surgery, improving visualization of electrode trajectories and anatomical structures. The system enhances surgical accuracy and surgeon confidence during procedures.
Area of Science:
- Neurosurgery
- Medical Robotics
- Image-Guided Surgery
Background:
- Existing stereoelectroencephalography (SEEG) systems face challenges in intuitively validating registration accuracy and visualizing electrode entry points and surrounding anatomy.
- Surgeons require enhanced spatial awareness and real-time feedback for precise electrode placement during SEEG implantation.
Purpose of the Study:
- To develop and evaluate a prototype system enabling video see-through augmented reality (VAR) and spatial augmented reality (SAR) for SEEG implantation.
- To provide surgeons with intuitive confirmation of registration accuracy, precise localization of electrode entry points, and visualization of internal anatomical structures.
Main Methods:
- A projector-camera system (PCS) was developed and attached to a robot arm for SEEG procedures.
- The system performs calibration, acquires patient head point clouds for registration, and generates VAR by merging real-time video with preoperative 3D models.
- Spatial augmented reality (SAR) is achieved by projecting planned electrode trajectories and anatomical data onto the patient's scalp.
Main Results:
- Phantom evaluations demonstrated fiducial registration error of [Formula: see text] mm (max 1.22 mm) and target registration error of [Formula: see text] mm (max 1.18 mm).
- Projection overlay error was measured at [Formula: see text] mm, with a target point error of [Formula: see text] mm after pre-warped projection.
- The system's performance was further assessed considering surgeon viewpoint deviation.
Conclusions:
- The developed system facilitates rapid verification of registration accuracy during SEEG procedures.
- It offers surgeons accurate electrode entry point localization and critical internal anatomical information.
- Enhanced surgical information provided by the system can lead to increased surgeon confidence and improved surgical outcomes.
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