Automatic Electrodes Detection during simultaneous EEG/fMRI acquisition
This addresses the need for accurate electrode localization in neuroimaging, but it is incremental as it builds on existing UTE sequence methods.
The paper tackled the problem of automatically detecting EEG electrode positions during simultaneous EEG/fMRI acquisition, achieving detection of around 90% of electrodes per subject with an average position error of 3.7mm.
Simultaneous EEG/fMRI acquisition allows to measure brain activity at high spatial-temporal resolution. The localisation of EEG sources depends on several parameters including the position of the electrodes on the scalp. The position of the MR electrodes during its acquisitions is obtained with the use of the UTE sequence allowing their visualisation. The retrieval of the electrodes consists in obtaining the volume where the electrodes are located by applying a sphere detection algorithm. We detect around 90% of electrodes for each subject, and our UTE-based electrode detection showed an average position error of 3.7mm for all subjects.