Physiologically informed Bayesian analysis of ASL fMRI data

Abstract : Arterial Spin Labelling (ASL) functional Magnetic Resonance Imaging (fMRI) data provides a quantitative measure of blood perfusion, that can be correlated to neuronal activation. In contrast to BOLD measure, it is a direct measure of cerebral blood flow. However, ASL data has a lower SNR and resolution so that the recovery of the perfusion response of interest suffers from the contamination by a stronger hemodynamic component in the ASL signal. In this work we consider a model of both hemodynamic and perfusion components within the ASL signal. A physiological link between these two components is analyzed and used for a more accurate estimation of the perfusion response function in particular in the usual ASL low SNR conditions.
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Communication dans un congrès
Statistical Challenges in Neuroscience workshop, Sep 2014, Warwick, United Kingdom
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https://hal.inria.fr/hal-01107613
Contributeur : Florence Forbes <>
Soumis le : mercredi 21 janvier 2015 - 10:58:06
Dernière modification le : jeudi 9 février 2017 - 15:47:21

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  • HAL Id : hal-01107613, version 1

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Florence Forbes, Aina Frau-Pascual, Thomas Vincent, Jennifer Sloboda, Philippe Ciuciu. Physiologically informed Bayesian analysis of ASL fMRI data. Statistical Challenges in Neuroscience workshop, Sep 2014, Warwick, United Kingdom. <hal-01107613>

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