Maximum entropy method for magnetoencephalography

Author

Huang, M. ; Aaron, R. ; Shiffman, C.A.

Author_Institution

Dept. of Phys., Northeastern Univ., Boston, MA, USA

Volume

44

Issue

1

fYear

1997

Firstpage

98

Lastpage

102

Abstract

Simulations show that the Maximum Entropy Method is a promising technique for image reconstruction in magnetoencephalography. An algorithm based on the work of Skilling and Bryan (Mon. Not. R. Astr. Soc., vol. 211, p. 111-24, 1984) and an appropriately modified expression for the "entropy" is shown to provide high-quality reconstructions of both isolated and dense distributions of neural current "dipoles" neglecting return currents. In particular the results are substantially superior to those obtained with the well-known Minimum Norm procedure.

Keywords

image reconstruction; magnetoencephalography; maximum entropy methods; medical image processing; algorithm; dense distribution; isolated distribution; magnetoencephalography image reconstruction; medical diagnostic imaging; minimum norm procedure; neural current dipoles; return currents; Biosensors; Entropy; Image reconstruction; Magnetic field measurement; Magnetic noise; Magnetic resonance imaging; Magnetic sensors; Magnetoencephalography; Sensor arrays; Signal to noise ratio; Artifacts; Entropy; Humans; Magnetoencephalography; Normal Distribution;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.553718

Filename

553718