By Topic

Spatial-Temporal Source Reconstruction of MEG via Variational EM Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jing Kan ; Dept. of Comput. Sci., Univ. of York, York, UK ; Richard Wilson

Magnetoencephalography(MEG) is a new non-invasive brain imaging technique reconstructed electronic activities of brain by measured the magnetic field surrounding scalp. The aim of this paper is to explore a new method of MEG source spatio-temporal reconstruction based on optimizing the reconstructed MEG source model. We make the assumption that the stimulated electronic activities of the brain are located on a particular part of cortex where we partition it with multiple even voxels. In terms of Biot-Savart Law of electromagnetism, the spatial source model is built with multiple unknown parameters which reflect the information of the source location. Then, we try to solve this parameters optimization as a Maximum-likelihood estimation (MLE) using variational EM algorithm. According to the application of this approach, this paper also addresses that the solution of MEG signal reconstruction should be considered to avoid overlapping the calculation complexity, which may result in too expensive calculation to practice. Whereas, this approach also provides a new possibility and the new angle to solve MEG source reconstruction.

Published in:

Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on

Date of Conference:

18-20 June 2010