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This paper presents a geodesic voting method to segment tree structures, such as cardiac or cerebral blood vessels. Many authors have used minimal cost paths, or similarly geodesics relative to a weight potential P, to find a vessel between two end points. Our goal focuses on the use of a set of such geodesic paths for finding a tubular tree structure, using minimal interaction. This work adapts the...
This paper presents a new method to segment thin tree structures, which are for example present in microglia extensions and cardiac or cerebral blood vessels. The minimal path method allows the segmentation of tubular structures between two points chosen by the user. A feature potential function is defined on the image domain. This corresponds to geodesic paths relatively to the metric weighted by...
This paper presents a new method to segment thin tree structures, such as extensions of microglia and cardiac or cerebral blood vessels. The Fast Marching method allows the segmentation of tree structures from a single point chosen by the user when a priori information is available about the length of the tree. In our case, no a priori information about the length of the tree structure to extract...
In this paper a 3D elastic model for the segmentation of cardiac magnetic resonance imaging has been proposed and analyzed. Elastic models for segmentation usually involve minimization of internal and external energy. A problem we observed with standard internal and external energy is that the local or the global reached minima do not impose the external energy to be zero. To eliminate this difficulty,...
New high resolution image techniques allow to capture the anatomy and movement of the heart of small animals. The availability of these in vivo images can be very useful for medical research, however the amount of generated data for large animal studies makes manual analysis a very tedious task. To cope with the problem of automatic analysis of these images, we propose the use of the deformable elastic...
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