Device and method for positioning eeg or meg electrodes in brain mr images

Abstract

The invention discloses an electrode cap, which comprises an electrode cap main body, a plurality of first electrodes, a plurality of first position sensors, datum coordinate measurement devices and a microprocessor, wherein the electrodes are EEG or MEG electrodes. The invention also discloses a method for positioning EEG or MEG electrode coordinates obtained from the electrode cap in a brain MR image, wherein the method comprises the following steps: dividing a brain surface, respectively mapping the brain surface and the EEG / MEG electrode coordinates to a standard head model, and registering a grey matter surface and the EEG / MEG electrodes in the space of the standard head model. The positioning device and method disclosed by the invention, by virtue of the EEG / MEG electrode cap containing the position sensors as well as a curve registration technology, can overcome the shortcoming of a conventional method which can only position the locations of the EEG / MEG electrodes in the MR image through rigidity imaging, so that the positioning precision of EEG / MEG in the brain MR image is greatly improved.

Description

technical field [0001] The invention relates to the technical field of brain function imaging. More specifically, the present invention relates to an apparatus and method for positioning EEG or MEG electrodes in MR images of the brain. Background technique [0002] Electroencephalography (EEG), magnetoencephalography (MEG) and magnetic resonance imaging (MR) are currently the main neuroimaging tools that have received great attention and are widely used in academic research and clinical diagnosis. EEG and MEG have high temporal resolution, and MR images have high spatial resolution, so people hope to fuse EEG signals and MR images or MEG signals and MR images to obtain brain functions with both high temporal and high spatial resolutions image. Accurate positioning of the coordinates of EEG / MEG electrodes in the MR head model is a necessary step for fusing EEG / MEG signals and MR images, and its registration accuracy directly affects the fusion effect and brain function anal...

AI Technical Summary

Problems solved by technology

This method has high precision, but has the following three disadvantages: 1. A high-precision scanner is required to digitally process the head surface, which greatly increases the cost; 2. After the digital processing of the head surface, further data screening is required to remove unsuitable Points used for registration increase the workload; 3. Surface registration tends to fall into the local optimal value instead of the global optimal value

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