%0 Journal Article %1 noKey %A Lamm, Claus %A Windischberger, Christian %A Leodolter, Ulrich %A Moser, Ewald %A Bauer, Herbert %D 2001 %I Kluwer Academic Publishers-Plenum Publishers %J Brain Topography %K eeg mri registration scalp %N 2 %P 93-100 %R 10.1023/A:1012988728672 %T Co-Registration of EEG and MRI Data Using Matching of Spline Interpolated and MRI-Segmented Reconstructions of the Scalp Surface %U http://dx.doi.org/10.1023/A%3A1012988728672 %V 14 %X Accurate co-registration of MRI and EEG data is indispensable for the correct interpretation of EEG maps or source localizations in relation to brain anatomy derived from MRI. In this study, a method for the co-registration of EEG and MRI data is presented. The method consists of an iterative matching of EEG-electrode based reconstructions of the scalp surface to scalp-segmented MRIs. EEG-electrode based surface reconstruction is achieved via spline interpolation of individually digitized 3D-electrode coordinates. In contrast to other approaches, neither fiducial determination nor any additional provisions (such as bite bars, other co-registration devices or head shape digitization) are required, and co-registration errors associated with inaccurate fiducial determination are avoided. The accuracy of the method was estimated by calculating the root-mean-square (RMS) deviation of spline interpolated and MRI-segmented surface reconstructions in 20 subjects. In addition, the distance between co-registered and genuine electrode coordinates was assessed via a simulation study, in which surface reconstruction was based on virtual electrodes determined on the scalp surface of a high-resolution MRI data set. The mean RMS deviation of surface reconstructions was 2.43 mm, and the maximal distance between any two matched surface points was 5.06 mm. The simulated co-registration revealed a mean deviation of genuine and co-registered electrode coordinates of 0.61 mm. It is concluded that surface matching using spline interpolated reconstructions of scalp surfaces is a precise and highly practicable method to co-register EEG and MRI data.

@article{noKey, abstract = {Accurate co-registration of MRI and EEG data is indispensable for the correct interpretation of EEG maps or source localizations in relation to brain anatomy derived from MRI. In this study, a method for the co-registration of EEG and MRI data is presented. The method consists of an iterative matching of EEG-electrode based reconstructions of the scalp surface to scalp-segmented MRIs. EEG-electrode based surface reconstruction is achieved via spline interpolation of individually digitized 3D-electrode coordinates. In contrast to other approaches, neither fiducial determination nor any additional provisions (such as bite bars, other co-registration devices or head shape digitization) are required, and co-registration errors associated with inaccurate fiducial determination are avoided. The accuracy of the method was estimated by calculating the root-mean-square (RMS) deviation of spline interpolated and MRI-segmented surface reconstructions in 20 subjects. In addition, the distance between co-registered and genuine electrode coordinates was assessed via a simulation study, in which surface reconstruction was based on virtual electrodes determined on the scalp surface of a high-resolution MRI data set. The mean RMS deviation of surface reconstructions was 2.43 mm, and the maximal distance between any two matched surface points was 5.06 mm. The simulated co-registration revealed a mean deviation of genuine and co-registered electrode coordinates of 0.61 mm. It is concluded that surface matching using spline interpolated reconstructions of scalp surfaces is a precise and highly practicable method to co-register EEG and MRI data.}, added-at = {2014-02-23T20:44:31.000+0100}, author = {Lamm, Claus and Windischberger, Christian and Leodolter, Ulrich and Moser, Ewald and Bauer, Herbert}, biburl = {https://www.bibsonomy.org/bibtex/2c831e1a5fbd6af8c049efd49e1beaed0/agredain}, description = {Co-Registration of EEG and MRI Data Using Matching of Spline Interpolated and MRI-Segmented Reconstructions of the Scalp Surface - Springer}, doi = {10.1023/A:1012988728672}, interhash = {83329692395a07dcb04ed9d034ce303f}, intrahash = {c831e1a5fbd6af8c049efd49e1beaed0}, issn = {0896-0267}, journal = {Brain Topography}, keywords = {eeg mri registration scalp}, language = {English}, number = 2, pages = {93-100}, publisher = {Kluwer Academic Publishers-Plenum Publishers}, timestamp = {2014-02-23T20:44:31.000+0100}, title = {Co-Registration of EEG and MRI Data Using Matching of Spline Interpolated and MRI-Segmented Reconstructions of the Scalp Surface}, url = {http://dx.doi.org/10.1023/A%3A1012988728672}, volume = 14, year = 2001 }