Detection of Biomagnetic Source by the Method of Maximum Entropy
碩士 === 國立中興大學 === 物理學系 === 91 === This thesis applied a novel approach to the detection of active sources in the cortex from magnetic field measurements on the scalp in magnetoencephalograph (MEG). In order to get the neurons’s activation, we have to solve an ill-posed inverse...
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| Format: | Others |
| Language: | en_US |
| Published: |
2003
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| Online Access: | http://ndltd.ncl.edu.tw/handle/42333064575228684044 |
| Summary: | 碩士 === 國立中興大學 === 物理學系 === 91 === This thesis applied a novel approach to the detection of active sources in the cortex
from magnetic field measurements on the scalp in magnetoencephalograph (MEG). In
order to get the neurons’s activation, we have to solve an ill-posed inverse problem. Our
approach to the solution is the framework of Maximum Entropy on the Mean. A reference
probability measure on the random variables is our means of regularizing of the singular
nature of the problem. The variables are the intensity of current sources on the cortical
region which include all available prior information that help in the regularization.
We also introduce a hidden Markov random variable as part of the prior information.
The Maximum Entropy method is used again within this framework. Finally, we demonstrate
how the method is applied in a practical detection of cerebral activity by analyzing
simulated MEG data.
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