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| Activation detection at voxel v is formulated in terms of temporal alignment between sequences of hemodynamic response onsets detected in the fMRI signal at v and in the spatial neighborhood of v, and the input sequence of stimuli or stimulus onsets (see Fig. a). | | Activation detection at voxel v is formulated in terms of temporal alignment between sequences of hemodynamic response onsets detected in the fMRI signal at v and in the spatial neighborhood of v, and the input sequence of stimuli or stimulus onsets (see Fig. a). | ||
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The multiple event sequence alignment problem is solved within the probabilistic framework of hidden Markov multiple event sequence models (HMMESMs). | The multiple event sequence alignment problem is solved within the probabilistic framework of hidden Markov multiple event sequence models (HMMESMs). | ||
It consists in hypothesizing about a set of valid scenarios that could explain the N observed HRO event sequences. | It consists in hypothesizing about a set of valid scenarios that could explain the N observed HRO event sequences. | ||
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* an N + 1th event sequence, namely, a candidate sequence of task-induced hemodynamic activation onsets (HAOs) at the origin of the observations. | * an N + 1th event sequence, namely, a candidate sequence of task-induced hemodynamic activation onsets (HAOs) at the origin of the observations. | ||
* HAO signatures, that is, associations of HRO events across channels, each association corresponding to the observable counterpart of a single HAO event. By definition, a signature is composed of one HRO event by observation channel, the event being observed (black line) or not (black point) (see Fig. b). | * HAO signatures, that is, associations of HRO events across channels, each association corresponding to the observable counterpart of a single HAO event. By definition, a signature is composed of one HRO event by observation channel, the event being observed (black line) or not (black point) (see Fig. b). | ||
− | * Causality constraints between signatures given an HAO sequence. | + | * Causality constraints between signatures given an HAO sequence. |
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If you are interested, you can find more information in the two following articles. In the second article, the neighborhood of v is not considered (N=1). | If you are interested, you can find more information in the two following articles. In the second article, the neighborhood of v is not considered (N=1). | ||
* S. Faisan, L. Thoraval, J.-P. Armspach, F. Heitz, Hidden Markov multiple event sequence models : a paradigm for the spatio-temporal analysis of fMRI data . Medical Image Analysis, pp. 1--20, Vol. 11, Num. 1, doi:10.1016/j.media.2006.09.003, February 2007. | * S. Faisan, L. Thoraval, J.-P. Armspach, F. Heitz, Hidden Markov multiple event sequence models : a paradigm for the spatio-temporal analysis of fMRI data . Medical Image Analysis, pp. 1--20, Vol. 11, Num. 1, doi:10.1016/j.media.2006.09.003, February 2007. | ||
− | * S. Faisan, L. Thoraval, J.-P. Armspach, M.-N. Lutz, F. Heitz, Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. IEEE Transactions on Medical Imaging, pp. 263-276, Vol. 24, Num. 2, doi:10.1109/TMI.2004.841225, February 2005. | + | * S. Faisan, L. Thoraval, J.-P. Armspach, M.-N. Lutz, F. Heitz, Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. IEEE Transactions on Medical Imaging, pp. 263-276, Vol. 24, Num. 2, doi:10.1109/TMI.2004.841225, February 2005.|| [[File:problemStatement.jpg|frameless|thumb|upright=2.9]] |
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== Publications == | == Publications == |
Version du 20 mars 2013 à 12:50
Maître de conférences
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Description des activités
Polarimetric Image Processing
To do
Decomposition of Spectroscopic signal sequences
To do
Retinal Image Registration
To do
Skull Image Analysis
functional MRI -- Brain Connectivity analysis
To do
Functional MRI -- Brain Mapping
Publications
<anyweb> http://newlsiit.u-strasbg.fr/papr/appli.php?author=faisan&title=&labo=tous&team=toutes&annee1=&annee2=&display=rap+&nationalRank=toutes&project=tous&hide=0&hide=0 </anyweb>