MEM-diffusion MRI framework to solve MEEG inverse problem

Abstract : In this paper, we present a framework to fuse information coming from diffusion magnetic resonance imaging (dMRI) with Magnetoencephalography (MEG)/ Electroencephalography (EEG) measurements to reconstruct the activation on the cortical surface. The MEG/EEG inverse-problem is solved by the Maximum Entropy on the Mean (MEM) principle and by assuming that the sources inside each cortical region follow Normal distribution. These regions are obtained using dMRI and assumed to be functionally independent. The source reconstruction framework presented in this work is tested using synthetic and real data. The activated regions for the real data is consistent with the literature about the face recognition and processing network.
Type de document :
Communication dans un congrès
2015 23rd European Signal Processing Conference (EUSIPCO), Aug 2015, Nice, France. 2015
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01207165
Contributeur : Brahim Belaoucha <>
Soumis le : jeudi 28 avril 2016 - 18:01:54
Dernière modification le : jeudi 11 janvier 2018 - 16:50:00
Document(s) archivé(s) le : mardi 15 novembre 2016 - 16:28:41

Fichier

root.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

  • HAL Id : hal-01207165, version 1

Collections

Citation

Brahim Belaoucha, Jean-Marc Lina, Maureen Clerc, Théodore Papadopoulo. MEM-diffusion MRI framework to solve MEEG inverse problem. 2015 23rd European Signal Processing Conference (EUSIPCO), Aug 2015, Nice, France. 2015. 〈hal-01207165〉

Partager

Métriques

Consultations de la notice

776

Téléchargements de fichiers

76