The method of maximum mutual information for biomedical electromagnetic inverse problems

Author

He, Renjie ; Rao, Liyun ; Liu, Shuo ; Yan, Weili ; Narayana, Ponnada A. ; Brauer, Hartmut

Author_Institution

Hebei Univ. of Technol., Tianjin, China

Volume

36

Issue

4

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

1741

Lastpage

1744

Abstract

This paper proposes a new method for biomedical electromagnetic inverse problems based on the technique of maximum mutual information. The new method is different from the conventional methods for it will not depend on the widely used regularization technique. The new method provides a general paradigm for developing algorithms dealing with various biomedical inverse problems that can be described using lead field, including localization and imaging of neural source activities in brain and heart from EEG/MEG and ECG/MCG; it is also possible to apply it to other, electromagnetic inverse problems like electrical impedance tomography. This paper mainly provides the theoretical development, with MEG inverse problems as case studies

Keywords

biomedical imaging; electrocardiography; electroencephalography; inverse problems; magnetocardiography; magnetoencephalography; tomography; ECG/MCG; EEG/MEG; biomedical electromagnetic inverse problems; brain; electrical impedance tomography; heart; lead field; localization; maximum mutual information; neural source activities; Biomedical imaging; Biomedical measurements; Electroencephalography; Electromagnetic measurements; Entropy; Heart; Helium; Inverse problems; Mutual information; Probability distribution;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.877780

Filename

877780