David Lloret

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Creases are a type of ridge/valley structures of an image characterized by local conditions. As creases tend to be at the center of anisotropic grey-level shapes, creaseness can be considered a measure of medialness, and therefore as useful in many image analysis problems. Among the several possibilities, a priori the creaseness based on the level-set(More)
Ridges and valleys are earth's relief structures. They can have an imaging counterpart provided we model a digital image as a landscape by considering grey level values as height. These two dual entities have received comparatively little attention from the computer vision community with regard to others like edges or corners. In this paper we first propose(More)
This paper addresses the registration of ultrasound scans and magnetic resonance (MR) volume datasets of the same patient. During a neurosurgery intervention, pre–operative MR images are often employed as a guide despite the fact that they do not show the actual state of the brain, which sometimes has sunk up to 1 cm. By means of a standard ecographer and a(More)
Ultrasound imaging is a helpful aid for diagnosis in many medical specialities. In order to enhance the information available to the examiner, an upcoming approach is to compound the sequence of video images into a single 3D volume, which needs a real-time tracking of the transducer. However, errors in the positioning occur, and the compounded image becomes(More)
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