Fully Automated Localization Of EEG Electrodes

UCLA researchers have developed an algorithm and implemented it in computer software to precisely locate EEG electrodes from medical images, specifically MRI images. The image analysis software automatically identifies the electrodes’ shapes and …

UCLA researchers have developed an algorithm and implemented it in computer software to precisely locate EEG electrodes from medical images, specifically MRI images. The image analysis software automatically identifies the electrodes’ shapes and orients them with respect to the MRI brain images for precise localization. The software algorithms can be adapted to use with other imaging tools, such as computed tomography (CT) or camera-based imaging.

Abstract

UCLA researchers have developed an algorithm for precisely locating EEG electrodes with respect to the patient’s brain.

Website

https://techtransfer.universityofcalifornia.edu/NCD/27512.html?utm_source=AUTMGTP&utm_medium=webpage&utm_term=ncdid_27512&utm_campaign=TechWebsites

Advantages

  • This invention will allow the measurement of exact electrode locations in the space of just a few minutes. With computer optimization, this can likely be done in a few seconds.  
  • The location of the electrodes is identified automatically.

Potential Applications

The clinical applications include localization of the onset sites of epileptic seizures, along with many additional uses. The research applications include the localization of functional systems in the brain that respond to stimuli and that control behavior.  This invention has many general applications beyond the focus on EEG. It can be used for identifying the location of objects of approximately-known shape from three-dimensional imagery. Example applications might include the identification of underwater objects from ultrasonography and the detection of body parts from computer-controlled detectors.

Contact Information

Name: UCLA Technology Development Group

Email: ncd@tdg.ucla.edu

Phone: 310.794.0558