The method of maximum mutual information for biomedical electromagnetic inverse problems

This paper proposes a new method for biomedical electromagnetic inverse pro blems based on the technique of maximum mutual information. The new method is different from the conventional methods for it will not depend on the wi dely used regularization technique. The new method provides a general parad igm for developing algorithms dealing with various biomedical inverse probl ems that can be described using lead held, including localization and imagi ng 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 etc, This paper mainly pro,ides the th eoretical development, with MEG inverse problem as case studies.