AN ITERATIVE THRESHOLDING ALGORITHM FOR THE NEURAL CURRENT IMAGING
| Autor: | F. Pitolli, A. del Portillo, G. Bretti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
magnetoencephalograpy
sparsity constraint electric current imaging multiscale basis inverse problem iterative thresholding neuroimaging Current distribution Multiscale basis Magnetoencephalograpy Inverse problem Regularization (mathematics) Sparsity constraint Iterative thresholding Electric current imaging Numerical tests Algorithm Mathematics |
| Zdroj: | SIMAI08, pp. 134–145, Roma, 15-19 settembre 2008 info:cnr-pdr/source/autori:Bretti, G.; Pitolli, F./congresso_nome:SIMAI08/congresso_luogo:Roma/congresso_data:15-19 settembre 2008/anno:2009/pagina_da:134/pagina_a:145/intervallo_pagine:134–145 |
| Popis: | Neural current imaging aims at analyzing the functionality of the human brain through the localization of those regions where the neural current flows. The reconstruction of an electric current distribution from its magnetic field measured in the outer space, gives rise to a highly ill-posed and ill-conditioned inverse problem. We use a joint sparsity constraint as a regularization term and we propose an efficient iterative thresholding algorithm to recover the current distribution. Some numerical tests are also displayed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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