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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.
Cited literature [12 references]
https://hal.inria.fr/hal-01100266
Contributor : Aina Frau-Pascual <>
Submitted on : Tuesday, January 6, 2015 - 11:07:08 AM
Last modification on : Tuesday, February 9, 2021 - 3:20:37 PM
Long-term archiving on: : Wednesday, June 3, 2015 - 5:11:29 PM
Contributor : Aina Frau-Pascual <>
Submitted on : Tuesday, January 6, 2015 - 11:07:08 AM
Last modification on : Tuesday, February 9, 2021 - 3:20:37 PM
Long-term archiving on: : Wednesday, June 3, 2015 - 5:11:29 PM
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