# US 10,311,598 B2 · Fully automated localization of electroencephalography (EEG) electrodes

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- Number: US 10,311,598 B2
- Document ID: US10311598B2
- Status: Granted
- Kind: B2
- Application number: 14/280,537
- Filed: 2014-05-16
- Published: 2014-11-20
- Granted: 2019-06-04
- Earliest claimed: 2013-05-16
- Assignees: The Regents of the University of California
- Applicants: The Regents of the University of California
- Inventors: Cameron Rodriguez; Mark Cohen
- Web page: https://patentgrep.com/patent/US10311598B2

## CPC

- G06T 7/74: {involving reference images or patches}
- G06T 15/08: Volume rendering
- G06T 2200/04: involving 3D image data
- G06T 2207/10088: Magnetic resonance imaging [MRI]
- G06T 2207/30016: Brain
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

A method for fully automated localization and channel identification of electroencephalography (EEG) electrodes. The electrode locations are automatically identified from three dimensional images stored in an electronic format, wherein the images may be derived from magnetic resonance imaging (MRI) that render the electrodes visible and object shapes and properties are used to locate the electrodes in the three dimensional images. The three dimensional images also show the brain in detail, such that the relationship of the electrodes to the brain is available, thereby making it possible to better identify electrical sources within the brain that create the EEG signals.

## Claims

### Claim 1

A method for identifying electrode locations for electroencephalography (EEG) from three-dimensional head images, comprising:
automatically identifying precise locations of a plurality of EEG electrodes positioned on a patient's head from three dimensional images stored in an electronic format,
wherein the images are derived from a single imaging modality that render the electrodes visible;
wherein the automatically identifying precise locations comprises
using object shapes and properties intrinsic to the EEG electrodes to locate the electrodes in the three dimensional images without use of exogenous markers, and
calculating centroid locations of each of the located plurality of EEG electrodes; and
generating a three dimensional image as a function of the identified precise locations of the plurality of EEG electrodes;
wherein the three dimensional image comprises
a reconstruction of the located plurality of EEG electrodes and
orientation information;
wherein the single imaging modality consists of magnetic resonance imaging (MRI);
wherein the orientation information is acquired by:
convolving the calculated centroid locations with a mask matching a three dimensional rotation of a single electrode.

### Claim 2 (depends on 1)

The method of claim 1, wherein the three dimensional images show the brain in detail, the method further comprising:
using the precise electrode locations to establish a relationship of the electrodes to the brain; and
identifying electrical sources within the brain that create EEG signals.

### Claim 3 (depends on 1)

The method of claim 1, wherein the precise electrode locations are identified without the use of markers to allow for direct detection of the electrodes, eliminating the need to estimate electrode location from marker location.

### Claim 4 (depends on 1)

The method of claim 1, further comprising:
registering the plurality of EEG electrodes to a second three dimensional image of the plurality of EEG electrodes whose channel numbers are known; and
imparting a channel ID to the electrode locations of the three dimensional image.

### Claim 5

A method for identifying electrode locations for electroencephalography (EEG) from three-dimensional head images, comprising:
inputting three dimensional images stored in an electronic format,
wherein the images are derived from a single imaging modality;
executing, via a processor, instructions software encoded on a computer readable medium for:
automatically identifying precise locations of a plurality of EEG electrodes positioned on a patient's head solely from the inputted three dimensional images;
wherein the automatically identifying precise locations comprises
using object shapes and properties intrinsic to the EEG electrodes to locate the electrodes in the three dimensional images without use of exogenous markers, and
calculating centroid locations of each of the located plurality of EEG electrodes;
and
generating a three dimensional image as a function of the identified precise locations of the plurality of EEG electrodes;
wherein the three dimensional image comprises
a reconstruction of the plurality of located EEG electrodes and
orientation information;
wherein the single imaging modality consists of magnetic resonance imaging (MRI);
wherein the orientation information is acquired by:
convolving the calculated centroid locations with a mask matching a three dimensional rotation of a single electrode.

### Claim 6 (depends on 5)

The method of claim 5, wherein the three dimensional images show the brain in detail, the method further comprising:
using the precise electrode locations to establish a relationship of the electrodes to the brain; and
identifying electrical sources within the brain that create EEG signals.

### Claim 7 (depends on 5)

The method of claim 5, wherein the precise electrode locations are identified without the use of markers to allow for direct detection of the electrodes, eliminating the need to estimate electrode location from marker location.

### Claim 8 (depends on 5)

The method of claim 5, further comprising:
registering the plurality of EEG electrodes to a second three dimensional image of the plurality of EEG electrodes whose channel numbers are known; and
imparting a channel ID to the electrode locations of the three dimensional image.

### Claim 9

A method for identifying electrode locations for electroencephalography (EEG) from three-dimensional head images, comprising:
automatically identifying precise locations of a plurality of EEG electrodes positioned on a patient's head from three dimensional images stored in an electronic format,
wherein the images are derived from a single imaging modality that render the electrodes visible;
wherein the automatically identifying precise locations comprises
using object shapes and properties intrinsic to the EEG electrodes to locate the electrodes in the three dimensional images, and
calculating centroid locations of each of the located plurality of EEG electrodes;
wherein the single imaging modality comprises magnetic resonance imaging (MRI);
generating a three dimensional image comprising
orientation information of the plurality of located EEG electrodes;
wherein the orientation information of the plurality of located electrodes is acquired by:
convolving the calculated centroid locations with a mask matching a three dimensional rotation of a single electrode.

### Claim 10

A method for identifying electrode locations for electroencephalography (EEG) from three-dimensional head images, comprising:
inputting three dimensional images stored in an electronic format,
wherein the images are derived from a single imaging modality;
executing, via a processor, instructions software encoded on a computer readable medium for:
automatically identifying precise locations of a plurality of EEG electrodes positioned on a patient's head solely from the inputted three dimensional images;
wherein the automatically identifying precise locations comprises
using object shapes and properties intrinsic to the EEG electrodes to locate the electrodes in the three dimensional images, and
calculating centroid locations of each of the plurality of located EEG electrodes;
wherein the single imaging modality comprises magnetic resonance imaging (MRI);
generating a three dimensional image comprising
orientation information of the plurality of located EEG electrodes;
wherein the orientation information of the plurality of electrodes is acquired by:
convolving the calculated centroid locations with a mask matching a three dimensional rotation of a single electrode.