The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Over the past decades, a multitude of different brain source imaging algorithms have been developed to identify the neural generators underlying the surface electroencephalography measurements. While most of these techniques focus on determining the source positions, only a small number of recently developed algorithms provides an indication of the spatial extent of the distributed sources. In a recent...
Identifying violent scenes in a movie may be of high interest as soon as the associated content has to be shown to a specific audience, as children for instance. However, defining what a violent scene is as well as extracting the violent excerpts from the only audiovisual cue are two hard tasks. In this article, we propose a pilot study to evaluate the interest of an approach based on the use of the...
A main limit of biventricular Cardiac Resynchronization Therapy (CRT) is the high rate of non-responder. A challenging task to carry out remains both the identification of the most effective pacing sites and the left ventricular lead positioning by a venous access. This paper aims to show how cardiac CT imaging can be helpful for the clinician to analyse venous system and cardiac function before the...
Nous proposons une nouvelle méthode de segmentation permettant une détection multi-objets, semi-interactive et à caractère générique, appliquée à l’extraction de structures cardiaques en imagerie scanner multibarettes. L’approche proposée repose sur l’élaboration d’un schéma multi-agents combiné à une méthode de classification supervisée qui permet l’introduction d’a priori dans le processus de segmentation...
The goal of this work is to assess global cardiac function in terms of ventricular volume from multi-slice computed tomography dynamic dataset. We propose an approach for the segmentation of the left ventricle and the measurement of the ventricular volume along the whole cardiac cycle. It is based on the segmentation of the left cavities using a fuzzy connectedness algorithm. The interactive placement...
We propose a new technique for general purpose, semi-interactive and multi-object segmentation in N- dimensional images, applied to the extraction of cardiac structures in multislice computed tomography (MSCT) imaging. The proposed approach makes use of a multi-agent scheme combined with a supervised classification methodology allowing the introduction of a priori information and presenting fast computing...
In this paper we present a new technique for general purpose, semi-interactive and multi-object segmentation in N-dimensional images. This method associates supervised classification methodologies with a region growing algorithm coupled with a connectivity approach. These concepts are combined in a competitive context implemented via a distributed real-time technology which allows multi-object detection...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.