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Communication Dans Un Congrès Année : 2015

Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis

Résumé

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.
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Dates et versions

hal-01249018 , version 1 (07-01-2016)

Identifiants

Citer

Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu. Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Oct 2015, Munich, Germany. pp.85-92, ⟨10.1007/978-3-319-24553-9_11⟩. ⟨hal-01249018⟩
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