Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data

Thomas Vincent 1 Jan Warnking 2 Marjorie Villien 2 Alexandre Krainik 2 Philippe Ciuciu 3 Florence Forbes 1, *
* Auteur correspondant
1 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Although the study of cerebral vasoreactivity using fMRI is mainly conducted through the BOLD fMRI modality, owing to its relatively high signal-to-noise ratio (SNR), ASL fMRI provides a more interpretable measure of cerebral vasoreactivity than BOLD fMRI. Still, ASL suffers from a low SNR and is hampered by a large amount of physiological noise. The current contribution aims at improving the re- covery of the vasoreactive component from the ASL signal. To this end, a Bayesian hierarchical model is proposed, enabling the recovery of per- fusion levels as well as fitting their dynamics. On a single-subject ASL real data set involving perfusion changes induced by hypercapnia, the approach is compared with a classical GLM-based analysis. A better goodness-of-fit is achieved, especially in the transitions between baseline and hypercapnia periods. Also, perfusion levels are recovered with higher sensitivity and show a better contrast between gray- and white matter.
Type de document :
Communication dans un congrès
Mori, Kensaku and Sakuma, Ichiro and Sato, Yoshinobu and Barillot, Christian and Navab, Nassir. MICCAI 2013 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan. Springer, 8150, pp.616-623, 2013, 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II; Lecture Notes in Computer Science. <10.1007/978-3-642-40763-5_76>
Liste complète des métadonnées

https://hal.inria.fr/hal-00854437
Contributeur : Thomas Vincent <>
Soumis le : mardi 27 août 2013 - 11:14:03
Dernière modification le : jeudi 9 février 2017 - 15:48:17

Fichier

paper826.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Thomas Vincent, Jan Warnking, Marjorie Villien, Alexandre Krainik, Philippe Ciuciu, et al.. Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data. Mori, Kensaku and Sakuma, Ichiro and Sato, Yoshinobu and Barillot, Christian and Navab, Nassir. MICCAI 2013 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan. Springer, 8150, pp.616-623, 2013, 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II; Lecture Notes in Computer Science. <10.1007/978-3-642-40763-5_76>. <hal-00854437>

Partager

Métriques

Consultations de
la notice

387

Téléchargements du document

231