Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis

Aina Frau-Pascual 1, 2 Florence Forbes 1 Philippe Ciuciu 3, 2
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 : Functional Arterial Spin Labeling (fASL) MRI can provide a quantitative measurement of changes of cerebral blood flow induced by stimulation or task performance. fASL data is commonly analysed using a general linear model (GLM) with regressors based on the canonical hemodynamic response function. In this work, we consider instead a joint detection-estimation (JDE) framework which has the advantage of allowing the extraction of both task-related perfusion and hemodynamic responses not restricted to canonical shapes. Previous JDE attempts for ASL have been based on computer intensive sampling (MCMC) methods. Our contribution is to provide a comparison with an alternative variational expectation-maximization (VEM) algorithm on synthetic and real data.
Type de document :
Communication dans un congrès
Nassir Navab; Joachim Hornegger; William M. Wells III; Alejandro F. Frangi. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Oct 2015, Munich, Germany. Springer, Lecture Notes in Computer Science, 9349, pp.85-92, 2015, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I. <10.1007/978-3-319-24553-9_11>
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01249018
Contributeur : Aina Frau-Pascual <>
Soumis le : jeudi 7 janvier 2016 - 00:28:41
Dernière modification le : samedi 18 février 2017 - 01:14:36
Document(s) archivé(s) le : vendredi 8 avril 2016 - 13:03:27

Fichier

miccai15_af_ff_pc.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu. Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis. Nassir Navab; Joachim Hornegger; William M. Wells III; Alejandro F. Frangi. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Oct 2015, Munich, Germany. Springer, Lecture Notes in Computer Science, 9349, pp.85-92, 2015, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I. <10.1007/978-3-319-24553-9_11>. <hal-01249018>

Partager

Métriques

Consultations de
la notice

424

Téléchargements du document

58