Différences entre les versions de « Sylvain Faisan »
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=== Polarimetric Image Processing === | === Polarimetric Image Processing === | ||
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=== Decomposition of Spectroscopic signal sequences === | === Decomposition of Spectroscopic signal sequences === | ||
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+ | === Retinal Image Registration === | ||
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=== Skull Image Analysis === | === Skull Image Analysis === | ||
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=== Functional MRI -- Brain Mapping === | === Functional MRI -- Brain Mapping === | ||
Version du 20 mars 2013 à 16:28
Maître de conférences
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Description des activités
Polarimetric Image Processing
Decomposition of Spectroscopic signal sequences
Retinal Image Registration
We have proposed a new, robust and automated method for registering sequences of images acquired from scanning ophthalmoscopes. The method uses a multi-scale B-spline representation of the deformation field to map images to each other and an hierarchical optimization method. We applied the method to video sequences acquired from different parts of the retina. In all cases, the registration was successful, even in the presence of large distortions from microsaccades, and the resulting deformation fields describe the fixational motion of the eye.
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Skull Image Analysis
functional MRI -- Brain Connectivity analysis
To do
Functional MRI -- Brain Mapping
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). 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. A valid scenario (see Fig. b), relies on the combination of:
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).
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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>