Patient-specific sensor registration for electrical source imaging using a deformable head model

OBJECTIVE Electrical source imaging of brain activity is most accurate when using individualized bioelectric head models. Constructing these models requires identifying electrode positions on the scalp surface. Current methods such as photogrammetry involve significant user interaction that limits integration in clinical workflows. METHODS Average electrode coordinates are registered to the mean scalp mesh of a shape-constrained deformable head model used for tissue segmentation. Patient-specific electrode positions can be identified on the deformed scalp surface using point-based correspondence after model adaptation. RESULTS Electrode variability is quantified for a photogrammetry-based solution and compared against the proposed sensor registration. CONCLUSION A fully-automated model-based approach can identify electrode locations with similar accuracy as a current state-of-the-art photogrammetry system. SIGNIFICANCE Automated electrode registration can more easily be integrated in clinical environments, enabling broader adoption of electrical source imaging technologies.