University of California

The United States Government As Represented by the Department of Veterans Affairs

Roland R Lee

Ming-Xiong Huang

Thomas T Liu

Mithun Diwakar

Omer Tal

Methods, systems, and devices are disclosed for implementing magnetoencephalography (MEG) source imaging. In one aspect, a method includes determining a covariance matrix based on sensor signal data in the time domain or frequency domain, the sensor signal data representing magnetic-field signals emitted by a brain of a subject and detected by MEG sensors in a sensor array surrounding the brain, defining a source grid containing source locations within the brain that generate magnetic signals, the source locations having a particular resolution, in which a number of source locations is greater than a number of sensors in the sensor array, and generating a source value of signal power for each location in the source grid by fitting the selected sensor covariance matrix, in which the covariance matrix is time-independent based on time or frequency information of the sensor signal data.

Magnetoencephalography source imaging for neurological functionality characterizations

Techniques and systems are disclosed for implementing multi-core beamforming algorithms. In one aspect, a method of implementing a beamformer technique includes using a spatial filter that contains lead-fields of two simultaneous dipole sources rather than a linear combination of the two to directly compute and obtain optimal source orientations and weights between two highly-correlated sources.

Growing community of inventors

San Diego, CA, United States of America

Roland R Lee