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This study deals with effective connectivity analysis among distant neural ensembles recorded with intracerebral near field electrodes during seizures in the brain of epileptic patients. Our goal is to analyze the ability of Dynamic Causal Modeling (DCM) approach to detect causal links when the underlying model is a well-known neural population model dedicated to the simulation of epileptic activities...
Magnetic resonance image texture analysis (MRI-TA) has been already demonstrated as a powerful tool to extract image information better than visual examination of grey levels. Human muscular dystrophy is a disease of which diagnosis is rather easy but it remains a lack of atraumatic methods for its follow-up as well as for the management of treatments presently in progress. MRI appears to be a potential...
This paper deals with a T2 MRI prostate segmentation method. We assume to have an initial surface mesh obtained interactively or after a first rough segmentation. The surface of the prostate is then searched within the initial mesh neighborhood using the Optimal Surface Detection algorithm (OSD). This algorithm is based on the construction of a directed graph from the information obtained around the...
Dans cet article, nous présentons les résultats d’une expérimentation qui vise à évaluer deux méthodes de détection aveugle ou passive de modifications d’images. Ces méthodes s’appuient sur des caractéristiques différentes : les Image Quality Measures (IQM) et les High Order Wavelet Statistics (HOW). Les modifications que nous cherchons à détecter sont le résultat de traitements usuels appliqués globalement...
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